Core Developer (Python) at Wintermute Trading | London

Longshot Systems builds advanced platforms for sports betting analytics and trading. The team blends software engineering, machine learning, and expertise in sports markets to develop trading strategies for clients. Role overview The Sports Betting Trading Analyst joins the modeling team as a subject matter expert in sports and betting markets. This role works closely with software engineers and machine learning specialists to refine and improve trading strategies. Key responsibilities include monitoring client trading activity, analyzing historical trade data, and applying deep knowledge of the sports betting landscape to spot improvements and value leaks in both current and new strategies. What you will do Work with engineers and machine learning specialists to enhance trading strategies Analyze historical trades and client activity to identify areas for improvement Apply expertise in sports and betting markets to find value opportunities and leaks Use data analysis tools, especially Python and Jupyter notebooks, to extract insights Engage with a wide range of sports from a betting perspective Requirements Strong passion for sports and sports betting, ideally with experience as a professional bettor Deep understanding of betting exchanges, prediction markets, and sharp bookmakers, including US and Asian markets Proficiency with Jupyter notebooks and data analysis in Python Strong numerical skills and a solid background in statistics Interest in following a broad range of sports, especially through the lens of betting Working arrangements This position follows a hybrid working model. Thursdays require in-person attendance at the London (Farringdon) office, while the rest of the week offers flexibility. Core hours are 10 am to 6 pm UK time, Monday through Friday, with support for flexible working to help the team meet goals. The role often benefits from engagement during sporting events, and tools are available to review games outside regular hours. Interview process Introductory call (30 minutes) to discuss background and interests First technical interview (90 minutes) for an in-depth discussion of experience Comprehensive assessment day (10:00 am - 6:00 pm) on-site, focused on data analysis using Python to generate insights

Join Longshot Systems, a pioneering company dedicated to developing cutting-edge platforms for sports betting analytics and trading.We are in search of a Senior Software Engineer to become a vital member of our trading platform team. As a small but highly focused organization, we seek an individual who can effectively architect and implement solutions to achieve our upcoming product, performance, and stability objectives. This role involves ownership of our technical standards, coding guidelines, CI/CD processes, observability, and security measures. If you are passionate about delivering features and enhancing the overall technical excellence of our team and platform, we want to hear from you.Our trading platform is responsible for integrating with numerous bookmakers and exchanges globally, normalizing and consolidating global odds data across various sports for internal trading strategies. We manage thousands of odds updates and trades per second, maintaining stringent standards for latency, correctness, and feed quality. You will be at the forefront, integrating additional trading venues, optimizing key platform components, and enhancing the safety and speed of trading. Our team also oversees a large historical data repository, supporting the company's broader trading and research initiatives.Our key platform systems are primarily built using Golang, featuring message buses and databases at the core of our architecture. While fluency in Golang is advantageous, it's not a prerequisite, as we have a team full of experts ready to assist you in learning.We embrace a hybrid work model, with Thursdays in our London office (Farringdon) and flexible arrangements for the rest of the week. Our standard working hours are 10 AM to 6 PM UK time, Monday through Friday, with support for flexible schedules to help our team achieve their objectives.

Join Longshot Systems, where we are at the forefront of developing sophisticated platforms for sports betting analytics and trading.We are in search of talented Machine Learning Researchers to join our quantitative modeling team. This team’s primary objective is to enhance the predictive capabilities of our models using historical event and market data. The quality of our models is paramount, as improvements directly influence our company’s success.In this role, you will design, test, and implement innovative machine learning models using Python, continuously enhancing our existing state-of-the-art solutions. As a small, focused company, we offer you the chance to be involved in every aspect of the R&D process, from high-level design to production implementation.The ideal candidate will possess high creativity and enjoy developing new, innovative approaches to problem-solving, and will have the autonomy to explore the most suitable methods for the challenges at hand. A strong mathematical foundation in machine learning and core statistics is essential. While knowledge of sports betting is not required, experience with modeling sports — particularly in-play football, basketball, or tennis — is advantageous.We embrace a hybrid working model, requiring in-office presence on Thursdays at our London (Farringdon) office, while allowing flexibility for the remainder of the week. Our standard working hours are from 10 am to 6 pm UK time, Monday to Friday, with support for flexible schedules to help our team achieve their goals.Our interview process includes:Introductory call (30 mins) - discussing your background and interestsTechnical interview (60 mins) - focusing on modeling questions and a coding exerciseFull assessment day (10:30 am – 5 pm) - encompassing a comprehensive modeling exercise and team interactions

Join Longshot Systems, where we are pioneering cutting-edge platforms for sports betting analytics and trading.We are looking for enthusiastic Graduate Machine Learning Researchers to become integral members of our quantitative modeling team. This team is dedicated to enhancing the predictive capabilities of our models using historical event data, as the excellence of our models is crucial to our company’s success.In this role, you will be responsible for designing, testing, and implementing innovative machine learning models in Python while continuously refining our existing top-tier solutions. As a small, focused company, Longshot offers you the opportunity to engage deeply in all facets of the R&D process, from high-level design to production implementation, while also learning from experienced industry professionals.The ideal candidate will possess a creative mindset and thrive in generating novel approaches to problem-solving. You will have the autonomy to explore and research the most suitable methods for the challenges presented. A solid mathematical foundation in Machine Learning principles and core statistics is essential, though prior knowledge of sports betting is not a requirement.We embrace a hybrid working model, with in-office work on Thursdays at our London (Farringdon) location and remote work for the remainder of the week. Our regular working hours are from 10 AM to 6 PM UK time, Monday to Friday, with a strong emphasis on flexible working to empower our team to achieve their objectives.Our interview process consists of the following steps:Introductory call (30 mins) - Discuss your background and interestsTechnical interview (60 mins) - Engage in modeling discussions and scenario-based questionsFull assessment day (9:30 AM–5 PM) - Tackle a real modeling challenge utilizing near-production dataQualifications A PhD or research Master’s degree in a quantitative, technical discipline (e.g., Mathematics, Physics, Machine Learning) from a reputable university Proficiency in modeling tabular data using Python Benefits Participation in an uncapped company bonus scheme, typically ranging from 10-20% of salary based on experience 10% matched pension contributions Private healthcare coverage Long-term illness insurance Gym membership Choice of hardware and setup for your development environment

At Longshot Systems, we develop cutting-edge platforms for sports betting analytics and trading.We are currently seeking experienced Machine Learning Engineers to join our modeling engineering team. In this role, you will collaborate closely with our quantitative research teams to transform prototype trading models into robust, production-ready systems. You will be responsible for designing and building the tooling, frameworks, and data engineering necessary to support strategy research and development, while also architecting high-level designs of the strategy software to minimize trading latency and ensure scalability. Our ML stack is primarily Python-based, incorporating modern ML libraries and tools such as Polars, Ray, and Plotly.The ideal candidate will possess a solid software engineering background, with extensive experience in high-performance computing topics such as multi-threading, networking, profiling, and optimization. Proficiency with the NumPy/SciPy stack is essential, along with experience in performance optimization tools like C++ and Numba. Familiarity with common ML algorithms and techniques is advantageous but not mandatory.As a hybrid working company, we require team members to work in our London (Farringdon) office on Thursdays, while offering flexibility for remote work on other days. Our standard working hours are from 10 am to 6 pm UK time, Monday to Friday, but we encourage flexible schedules to help our team meet their objectives.Interview Process:Introductory Call (30 mins) - Discuss your background and interestsFirst Technical Interview (30 mins) - Live code review and pair programmingSecond Technical Interview (60 mins) - In-depth technical questionsFull Assessment Day (10:30 am to 5 pm) - A programming exercise reflective of actual team tasks

Join Spotlight Sports Group, a leading global media and technology firm dedicated to transforming the sports betting, horse racing, and fantasy sports industries through innovative content and data solutions. With a diverse team of over 400 professionals, we proudly manage award-winning brands such as Racing Post, Pickswise, myracing, and Free Super Tips. Our partnerships with top operators in the betting sector enable us to create multilingual, high-quality digital products and engaging content that informs and captivates users. Our international marketing agency, ICS-digital, including ICS-translate, also operates under our umbrella.This Data Analyst position is a pivotal role within our Data Intelligence Unit (DIU), emphasizing insight generation, analytical problem-solving, and decision support that goes beyond standard reporting. You will enhance the organization’s comprehension of customer behavior and performance drivers by delving deeper into trends to uncover root causes, measure impacts, and facilitate data-driven decision-making across Content, Commercial, CRM, Product, and Leadership teams.The ideal candidate is someone who excels in navigating complex behavioral datasets, thrives in ambiguous situations, and aims to shape strategic directions through thorough analysis. A passion for sports and betting markets is advantageous but what truly matters is your analytical curiosity and critical thinking skills. This position follows a hybrid model, requiring 3 days in our Central London office near Southbank and 2 days of remote work.Key Responsibilities:Insight Generation: Move beyond traditional reporting by proactively identifying trends, patterns, and opportunities in customer behavior, lifecycle progression, segmentation, and product engagement, ensuring insights connect to commercial and strategic outcomes.Stakeholder Collaboration: Collaborate with product teams, leadership, and various squads to understand challenges, formulate hypotheses, and deliver impactful insights that steer strategic decisions.Data Storytelling: Simplify complex datasets and analyses into engaging narratives that inspire action, ensuring insights are accessible for stakeholders with diverse data proficiency.Impact Measurement: Create and execute solid measurement frameworks, including test-and-learn strategies, to assess the effectiveness of business changes and ensure decisions are data-driven and continuously refined.Championing a Data-Driven Culture: Promote data as a strategic asset, challenge assumptions, and embed insight-led decision-making within Content, Product, CRM, and Commercial teams.Automation for Efficiency: Optimize and automate routine reporting and analysis processes to dedicate more time to high-value insight generation rather than manual data preparation.

The Opportunity Quantitative Analyst - Transforming the Future of Sports Betting Join our innovative team and redefine the landscape of sports betting! We are on the lookout for a passionate and creative Quantitative Analyst to craft and enhance state-of-the-art statistical models. In this pivotal role, you will significantly contribute to improving our market offerings and driving our growth in the fast-paced sports betting arena. Utilize your data science, machine learning, and AI expertise to develop models that forecast outcomes, manage risks, and unlock exciting opportunities in micro-markets and derivatives. Your Role Involves: Core Sports Betting Models: Construct and refine predictive models for match outcomes, leveraging advanced statistical techniques, machine learning algorithms, and AI methodologies. Player Statistics Models: Develop and sustain complex models that assess player performance and predict individual impacts, thereby creating thrilling new betting opportunities. Risk Management Models: Formulate and execute robust risk assessment models to optimize exposure and guarantee the enduring viability of our operations. Market Expansion: Assist in innovating market offerings, including derivatives and micro-markets, by generating the essential underlying models. Technology Modernization: Collaborate on modernizing our modeling technologies, exploring and adopting new tools and platforms to boost efficiency and scalability. Data-Driven Innovation: Engage in the development of new data-driven techniques, pushing the boundaries of what’s achievable in sports betting analytics. Data Collaboration: Partner with the data engineering team to enhance data storage and retrieval processes, ensuring smooth access to crucial information for model development. Data Acquisition: Identify and gather relevant data sources to support model development and enhancement. Knowledge Sharing: Clearly document model methodologies and effectively communicate intricate technical concepts to both technical and non-technical stakeholders across the organization. Performance Monitoring: Implement performance tracking systems to ensure models achieve desired outcomes and are continuously improved.

Join Longshot Systems Ltd, where we create cutting-edge platforms for sports betting, analytics, and trading. We are seeking a Senior DevOps Engineer to enhance our platform team.You will manage a medium-sized deployment that connects with global sports betting platforms and supports multiple internal teams with diverse infrastructure needs. Your role will involve overseeing critical systems from backtesting to real-time trading and long-running backend services.Our infrastructure is hosted on AWS, and we are undergoing an evolution focused on automation and repeatability to drive our growth. Our core systems process thousands of trading signals per second, requiring minimal latency, presenting similar challenges to high-frequency trading environments but in the sports betting sector.As a Senior DevOps Engineer, you will collaborate closely with the CTO and development team to maintain our production and development trading infrastructure. You will take the lead on developing new infrastructure and troubleshooting performance and stability issues across applications, networks, and operating systems. You should be adept at analyzing metrics, packet dumps, and logs to identify and resolve issues, followed by implementing automation to prevent future occurrences.The ideal candidate is autonomous and innovative, thriving on generating new solutions and suggesting improvements to current methodologies. We offer you flexibility and the freedom to explore effective solutions.We embrace a hybrid work model, requiring in-office attendance on Thursdays at our London (Farringdon) office, with flexible arrangements for the remainder of the week. Our standard working hours are 10 AM to 6 PM UK time, Monday to Friday, with support for flexible schedules to achieve your goals.Regarding on-call responsibilities, while we do not maintain a 24/7 rota, we have a compensated on-call system based on best efforts, which will involve sharing responsibilities within the platform team.Interview Process:Introductory call (30 mins) – discuss your background and interests.First technical interview (30 mins) – live systems management and code review.Second technical interview (60 mins) – in-depth technical questions.Full assessment day (10:30 AM – 5 PM) – a practical systems engineering exercise reflecting actual team work. Meet the team, tour the office, and enjoy a complimentary lunch.

Ebury empowers ambitious businesses to achieve global growth, applying the same philosophy to our employees. We promote innovation, collaboration, and problem-solving, creating an inclusive environment where everyone feels valued and supported to excel.If you're a collaborative professional eager to revolutionize global business operations, reach out to us—we're excited to explore how Ebury can advance your career and help you shape the future.Key Account Director - Sports Betting & GamingEbury Europe Jurisdictions - Office basedThis role will be based in any of Ebury's European hubs with a full commitment of 5 days a week in the office.Ebury Sports Finance is a specialized unit within Ebury, dedicated to offering tailored financial services to the professional sports and betting industries, which face complex global treasury operations. As the strategic treasury partner for elite sports entities and major gaming industry players, we stand out in our field.The OpportunityEbury is not just another fintech; we are the driving force behind the global expansion of the most ambitious companies. Our Sports Finance division is swiftly setting the industry standard, and we are on the lookout for a Key Account Director with an extensive network and a profound grasp of the betting and gaming ecosystem to lead our expansion in this sector.Unlike traditional banks that often approach the gaming sector cautiously, Ebury takes a tailored and proactive risk approach towards the betting industry. We recognize the complexities of this landscape—from regulatory changes to high transaction volumes—and have established a dedicated framework to support it. This enables us to provide the stability and scalability that betting treasurers require.Your ResponsibilitiesIn your role as Key Account Director, you will represent Ebury in the global betting and gaming sector and be accountable for:Business Development: Actively pursuing and securing new business opportunities within the global betting and gaming sector.

About WintermuteWintermute is a pioneering technology company and a leading player in the algorithmic trading sector, focusing on digital assets. We are dedicated to providing liquidity across a vast array of cryptocurrency exchanges and trading platforms. Additionally, we offer comprehensive OTC trading solutions, supporting both high-profile blockchain initiatives and traditional financial institutions transitioning into the crypto space. Our Wintermute Ventures division also invests in promising early-stage DeFi projects.Founded in 2017, Wintermute has adeptly navigated the complexities of industry cycles. Our culture merges the high-frequency trading standards of traditional markets with the innovative and entrepreneurial spirit typical of technology startups. We are firm believers in the transformative potential of blockchain, and we take a long-term approach to the digital asset market, positioning ourselves as leaders in fostering a compliant and innovative trading environment. For more details, you can read more here.Why Join Wintermute?We are on the lookout for an Algorithmic Trader with robust coding abilities (Python) and a keen interest in high-frequency trading, liquidity provision, and cryptocurrency markets. From day one, you will manage your own “desk” and have the chance to create and refine your own trading algorithms and strategies. You will receive invaluable mentorship from seasoned traders and developers, including our founders and management team. Expect a high degree of autonomy and responsibility from the outset, allowing you to make a significant impact without the hindrance of legacy systems or bureaucratic red tape.Your ResponsibilitiesFollowing a brief training period, you will focus on enhancing existing trading strategies, introducing new trading products, and advancing the technology behind our trading systems. You will analyze extensive trading and transaction data to extract insights, prioritize them, and devise solutions based on your findings. You will have the opportunity to influence P&L positively and will be encouraged to experiment with innovative ideas and strategies. We will provide more technical specifics during the interview process.Please note: We seek individuals with strong quantitative and coding skills; however, this is primarily a business/trading role rather than a research position.

The RoleJoin the dynamic team at Brook Green Supply, an independent B2B energy supply company, as an Energy Trading Analyst. This is an exceptional opportunity for a motivated and commercially astute individual to contribute significantly to the growth and transformation of our trading desk, which is at the forefront of the UK energy market.In this pivotal role within the Trading Analytics team, you will support portfolio engagement, focusing on enhancing hedging performance and analytical capabilities across the UK power and gas sectors. This high-visibility position directly influences trading performance by delivering actionable insights and facilitating market analysis for both internal and external stakeholders.Additionally, you will provide commercial support for structured energy products, Power Purchase Agreements (PPAs), and risk management processes.Responsibilities· Analyze market fundamentals and real-time data to identify trading opportunities and inform strategies for hedging supply and generation exposures.· Collaborate closely with traders and senior stakeholders to provide insights on market views, trade recommendations, and hedging performance.· Generate valuable insights through written reports, presentations, dashboards, and other visualizations.· Assist in the development of fundamental and quantitative models for price forecasting, risk analysis, and commercial decision-making across power and gas trading.· Work alongside the technology team to enhance data architecture and analytics infrastructure.About You· Strong analytical and problem-solving skills with the ability to convey complex concepts clearly.· Proven understanding of energy markets and energy system fundamentals.· Excellent interpersonal skills and a collaborative mindset.· Highly self-motivated, able to take initiative in a fast-paced environment.

About WintermuteWintermute is a pioneering technology firm and one of the foremost algorithmic trading companies specializing in digital assets. Our mission is to provide liquidity across a diverse range of cryptocurrency exchanges and trading platforms. We also offer comprehensive OTC trading solutions while supporting prominent blockchain initiatives and traditional financial institutions transitioning into the crypto space. Additionally, Wintermute Ventures invests in early-stage DeFi projects, further enhancing our influence in the industry.Founded in 2017, Wintermute has adeptly navigated through various industry cycles. We blend the high-frequency trading standards of traditional markets with the innovative spirit of technology startups. At Wintermute, we are committed to harnessing the disruptive potential of blockchain technology, maintaining a long-term perspective on the digital asset market, and leading the way in establishing a compliant and innovative trading environment. To learn more, please visit our website.Join Our TeamWe are on the lookout for a passionate C++ Quant Developer who thrives on technology and possesses a keen interest in both the intricate details of computer hardware and the overarching design of expansive systems, including data infrastructure. The ideal candidate enjoys exploring the inner workings of technology, has a solid understanding of data structures, and possesses experience in developing client-server network applications and optimizing high-performance code. We value prior experience from personal projects as well as professional backgrounds. A PhD in mathematics is common among our Quant Developers, and a solid grasp of mathematical concepts is essential. An interest in algorithmic and quantitative trading is a bonus.At Wintermute, you will have the unique opportunity to directly influence our trading activities by developing and enhancing various aspects of our trading platform, data infrastructure, and related software. You will receive guidance from seasoned developers and traders, including our founders. Expect immediate responsibility and independence, enabling you to learn at an unparalleled pace! We operate without legacy systems, bureaucratic hurdles, or multiple approval layers; all developers report directly to our hands-on CTO. The impact you make is truly up to you!

Join Us as a Software EngineerAt Talos, we are leading the way in institutional trading technology for the digital asset market, established in 2018. Our cutting-edge solutions empower major players in the crypto ecosystem, facilitating seamless trading and settlement processes.Our mission is to promote the widespread adoption of digital assets, creating a trusted and innovative platform that supports the entire trading lifecycle. We pride ourselves on fostering a workplace that values kindness, respect, and inclusivity, where diverse perspectives fuel our progress.As part of a close-knit yet decentralized team of skilled engineers and professionals, you will thrive in our hybrid-friendly environment, with hubs in New York, London, Singapore, Sweden, and Cyprus.As a Software Engineer at Talos, you will be instrumental in developing high-performance systems that bridge the gap between crypto and capital markets. Collaborating with our talented team, you will enhance our backend trading and settlement platform, focusing on areas such as order routing, market data connectivity, position management, and risk systems.We seek passionate engineers eager to take ownership of their work and contribute across the entire development lifecycle—design, implementation, testing, and deployment. If you enjoy tackling complex challenges in a fast-paced environment and are eager to learn from seasoned colleagues, we want to hear from you! Experience in finance or crypto is a plus, but your coding skills, critical thinking, and collaborative spirit are our top priorities.Interested in our engineering culture? Explore Sonic, our inaugural open-source project that enables microsecond network stack latency in Go: https://github.com/talostrading/sonic

Join Our Innovative Team in the Digital Asset MarketFounded in 2018, Talos is at the forefront of providing institutional-grade trading technology tailored for the global digital asset market, empowering many key players within the crypto ecosystem.At Talos, our mission is to foster the widespread adoption of digital assets by effectively connecting institutions to the evolving digital asset landscape. We are dedicated to developing the most innovative and trusted platform, supporting a comprehensive trading lifecycle.Our workplace embodies kindness, respect, and inclusivity, valuing diverse perspectives that contribute to our growth. We believe that each team member brings unique insights and skills that propel Talos towards excellence. In our commitment to collaboration and mutual success, we cultivate a culture of trust and integrity, working together to build something remarkable. Your contributions will be vital to our collective achievements.We are a close-knit yet decentralized team of experienced engineers and business professionals, operating in a hybrid-friendly environment with offices in New York, London, Singapore, Sweden, and Cyprus.About the RoleAs a Software Engineer in our Trading Connectivity team, you will be responsible for designing, developing, and maintaining high-performance backend systems that interface with our extensive provider network. Your role will involve collaborating with product managers, trading support, other engineering teams, and clients to facilitate the integration of new liquidity providers into the Talos network. You will be instrumental in enhancing the platform's scalability, reliability, security, and overall performance, managing the integration process from requirement gathering to deployment.To learn more about Talos's engineering culture, explore Sonic, our inaugural open-source project that enables us to achieve microsecond network stack latency in Go: https://github.com/talostrading/sonic

Wehrtyou is excited to announce an opening for a Trading Systems Engineer within our vibrant Systems team. This team is instrumental in developing and managing the high-speed, dependable infrastructure that drives our global trading operations. As part of our team, you'll play a crucial role in deploying and overseeing all servers in our trading environment, ensuring exceptional performance and reliability. In this role, you'll encounter a range of technical challenges that have a significant impact on our live trading and research operations. Daily tasks will include installing and configuring hardware and software, remote administration, monitoring system performance, testing new technologies, and optimizing system efficiency. We're looking for a passionate and innovative technologist eager to learn and contribute to meaningful projects in a fast-paced and collaborative setting. If you're enthusiastic about working on cutting-edge systems vital to our success, we encourage you to apply!

Join the Digital Asset RevolutionFounded in 2018, Talos is at the forefront of institutional-grade trading technology for the global digital asset market, enabling many prominent players within the crypto ecosystem. Our mission is to facilitate the widespread acceptance of digital assets by connecting institutions to this evolving landscape seamlessly. We are dedicated to creating the most innovative and reliable platform in the industry, supporting the entire trading lifecycle.At Talos, we promote a culture of kindness, respect, and inclusivity, valuing diverse perspectives that contribute to our collective success. Each team member brings unique insights and skills that propel Talos forward, fostering a collaborative environment built on trust, integrity, and mutual growth.As part of our globally distributed team of seasoned engineers and business professionals, you will find a hybrid-friendly workplace that encourages your unique talents and contributions to help us build something extraordinary.Client Services Engineer RoleWe are seeking a skilled Client Services Engineer to support our clients in a dynamic, round-the-clock global digital asset trading environment. This pivotal role will ensure ongoing client success and the overall integrity of our trading systems.

Genius Sports is revolutionizing the sports landscape by integrating cutting-edge technology with unparalleled live data, creating immersive, interactive, and personalized experiences for sports enthusiasts around the globe. Discover more at geniussports.com.Your Role: Senior Product ManagerAs the Senior Product Manager for the Betting Cluster at Genius Sports, you will collaborate closely with the Product Director and delivery teams to transform high-level roadmaps into actionable work items. Your primary focus will be enhancing the scalability of our core internal infrastructure and the seamless integration of external market data.Your responsibilities will encompass both strategic and tactical dimensions of product management. The tactical component involves requirements scoping, defining epic-level acceptance criteria, and closely collaborating with the delivery team throughout the planning and execution phases. You will work alongside Delivery Leads to ensure all facets of delivery are comprehensively addressed, including operational support, sharing domain knowledge, and formulating go-to-market strategies.Main Responsibilities:The Strategic (What)Engage your squad and stakeholders to collaboratively shape the product vision, goals, and strategy.Partner with the Product VP to craft the product vision and roadmap while identifying growth opportunities.Translate product vision and roadmap into detailed work items for quarterly planning.Sustain strong relationships with key stakeholders across technical, commercial, support, marketing, and operations, as well as key customers.Communicate the vision and direction to the development team and stakeholders throughout the initiative's duration.Stay informed about industry developments and competitor activities to identify potential threats and opportunities.The Tactical (How)Support the daily operational management of the product.Oversee customer releases and the go-to-market strategy.Define epics with detailed acceptance criteria, engaging relevant stakeholders and subject matter experts to verify specifications and ensure necessary assets (wireframes, designs) are included.Confirm that epics are completed according to the established acceptance criteria.

Hudson River Trading (HRT) is on the lookout for a detail-oriented Corporate Action Analyst to become an integral part of our dynamic PostTrade Strategic Initiatives team. This team is responsible for designing and managing the systems and processes that ensure seamless reconciliation of our trading activities with various brokers and counterparties globally. Given the high volume of trades and the intricate nature of our global trading system, we emphasize automation to mitigate operational risks, uphold data integrity, and ensure adherence to regulatory standards. As a Corporate Action Analyst, you will collaborate with a close-knit, highly efficient team to enhance operational efficiencies while working alongside multiple teams across HRT’s global operations. With corporate actions becoming increasingly important, we seek a candidate who possesses a robust understanding of corporate actions and asset servicing across markets. You should be passionate about leveraging technology and automation tools to contribute to a diverse array of operational projects, while demonstrating exceptional attention to detail.

Join Mustard Systems, where we harness the power of statistical modeling to analyze sports events, enabling accurate predictions of future outcomes. By leveraging our proprietary datasets, sophisticated statistical models, and custom software solutions, we aim to deliver precise forecasts in the world of sports.We prioritize speed and real-world impact over perfection in code. If you are an engineer who excels at rapid problem-solving and thrives in a flexible, outcome-oriented environment, you'll find a home with us.Your Role:Enhance our connections to new liquidity providers using advanced web scraping and reverse engineering techniques.Create and maintain low-latency, real-time data feeds to support trading strategies based on extracted data.Improve system visibility for teams to gain insights into integration challenges and enhancements.Our agile methodology allows us to adapt plans as new information and opportunities arise. Developers play a pivotal role, taking complete ownership of their software from design through development, testing, review, and production support.Key Responsibilities:Design and Implement Impactful Features: Develop features that align with our business objectives, ensuring high-quality code that delivers measurable value.Collaborate on Code Quality: Review and test peer code to uphold functionality, maintainability, performance, and quality standards.Production Support: Take charge of your team’s software in production, ensuring stability and prompt resolution of any issues.Cross-Team Collaboration: Partner with other development teams on cross-functional projects, working alongside traders and quants to devise the best solutions to real business challenges.Participate in Out-of-Hours Support for our Software Systems.Core Technology Stack:Languages: Python (3.10+), JavaScript/TypeScript for frontend tasks, and Go for select infrastructure.Tools: RabbitMQ and Kafka for messaging, PostgreSQL and Redis for data storage.Environment: Linux servers.Observability: OpenTelemetry, Prometheus, Grafana, and Zabbix.Required Qualifications:Solid experience in software development, particularly with Python.A degree in Computer Science or a related quantitative field from a recognized university.Excellent communication skills, enabling you to explain complex technical concepts to both technical and non-technical audiences.Strong decision-making skills, with an ability to make informed trade-offs in implementation and architectural decisions, balancing innovation with practicality.Experience with web scraping and related technologies is essential.