Quantitative Data Analyst - Innovating Sports Betting Solutions

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.

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 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.

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.

Role overview Legal & General is hiring a Senior Quantitative Analyst based in London. The position centers on building advanced quantitative models, analyzing complex data sets, and interpreting results to guide decisions for senior management. This work supports a range of business initiatives and helps shape company strategy. Key responsibilities Develop and maintain sophisticated quantitative models for financial analysis. Conduct detailed data analysis to support business strategy. Interpret quantitative results and present actionable insights to senior leaders. Collaborate with cross-functional teams to verify the accuracy of financial forecasts and risk assessments. Apply quantitative expertise to refine investment strategies and enhance investment performance. Collaboration This role involves close coordination with colleagues from multiple departments. Teamwork is essential to ensure reliable forecasting and effective risk management across the organization.

The TeamOpenBet stands at the forefront of the global betting and gaming industry, collaborating with over 200 partners to deliver unforgettable winning experiences to millions of players around the globe. Whether processing bets during landmark events like the FIFA World Cup and Super Bowl or innovating next-generation products such as BetBuilder, we continually enhance player engagement through high-quality content, state-of-the-art technology, and robust player protection tools.With a legacy spanning over 25 years, our unparalleled platform supports the most prestigious betting brands, guaranteeing optimal performance with 100% uptime, remarkable scalability, and lightning-fast speed. Boasting 85 licenses and a clientele that includes 20 World Lottery Association operators, our team of over 1,200 professionals across 14 countries remains a pivotal force in the industry. Join OpenBet to elevate your career and contribute to a dynamic team that is reshaping the future of betting entertainment for millions worldwide.The GoalThe Quant Development unit within our Data Science team is seeking a talented Quant Developer to design and maintain forecasting models for sports betting. This role is based in London.What You Will Be Doing:• Develop new player proposition markets utilizing price feed and statistical data.• Enhance sports betting models by integrating essential features and components to optimize pricing across various markets.• Oversee the team's services, including Alerts for Traders.• Manage cloud-based data pipelines while ensuring their efficiency and scalability.• Minimize technical debt while tackling various tasks, such as implementing a new interface for market contracts.• Collaborate across team functions, effectively communicating technical solutions through tools like Jira, Confluence, and code.• Partner closely with product owners and software developers to transition projects from concept to integration.• Provide constructive feedback during code reviews to ensure high-quality contributions, including suggesting additional tests, identifying inconsistencies, and aiding in problem resolution.The Player:A postgraduate degree in Data Science, Machine Learning, Statistics, Mathematics, or a related quantitative discipline.Minimum of 3 years of experience in a quantitative role or possess a PhD in a quantitative field.Proficient in programming: (a) Object-oriented programming in C# or Python and (b) database management with SQL and NoSQL.Familiarity with diverse modeling techniques (including Probability Distributions, GLMs, Monte Carlo Simulations, Bayesian Inference, Time-Series Analysis, etc.).A strong passion for developing forecasting models in the sports domain.Solid understanding of betting concepts and market dynamics.Desirable Qualifications:At least 2 years of experience in a similar role.

Join Kpler as a Quantitative Freight Analyst specializing in Dry Bulk. In this role, you will analyze market trends, build quantitative models, and provide insights to optimize freight operations. You will collaborate with a dynamic team and leverage data to support decision-making processes in the shipping industry.

Join our innovative team at mustard-systems, where we develop tailored statistical models and probabilistic frameworks that accurately predict horse racing outcomes and optimize trading strategies. Your insights will directly influence our success, determining what to back, when, and how much.We are seeking a dedicated researcher to become a vital member of our quantitative team. In this role, you will enjoy significant ownership over your projects, making impactful decisions about what you build, how you approach it, and evaluating its effectiveness.If you have previously tackled challenging technical problems and are eager for more opportunities to apply your scientific problem-solving skills in a high-stakes environment, we want to hear from you.Your responsibilities will include building and refining our quantitative models. While our primary focus is on custom state space models, probabilistic frameworks, and neural architectures, we are open to exploring other methods if they yield better results. Understanding the data is just as crucial as modeling; you'll need to navigate its complexities and uncover untapped opportunities.You will be expected to articulate the rationale behind your modeling choices clearly, and we will encourage you to challenge our assumptions as well.As part of a small, ambitious team, you will grow your understanding of our product and domain, influencing research directions and the business decisions that stem from them. We are looking for someone who identifies problems, crafts solutions, and pursues tangible outcomes, rather than merely completing predefined tasks.

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

Role Overview smartkarma seeks an Independent Quantitative Analyst in London. This role suits someone with a solid quantitative background who enjoys working autonomously. The main focus is on delivering clear, data-driven analyses for the investment community. What You Will Do Develop quantitative models and frameworks to inform investment decisions Produce independent analyses that support investors Apply quantitative expertise to address complex financial questions Who We’re Looking For Strong quantitative skills Experience building models for investment or financial analysis Comfort working independently and setting your own direction

Join our dynamic team at Legal & General as a Quantitative Analyst in London. In this pivotal role, you will leverage data-driven insights to enhance our investment strategies and drive informed decision-making. You will collaborate with cross-functional teams, applying your analytical skills to interpret complex financial data, optimizing our investment portfolio. If you're passionate about quantitative analysis and looking to make a significant impact, this is the opportunity for you!

Are you passionate about leveraging quantitative analysis to drive innovative solutions? As a Quantitative Developer at Intropic, you will play a pivotal role in developing and implementing cutting-edge quantitative models that enhance our services. You will collaborate with a dynamic team of experts, utilizing your analytical skills to tackle complex challenges and contribute to the success of our projects.

Quantitative Analyst Intern - CryptoJoin our dynamic Strategic Market Making team at Keyrock, where we leverage innovative strategies to navigate the ever-evolving landscape of digital asset markets.As a Quantitative Analyst Intern, you will engage in cutting-edge analysis and optimization of our market strategies across various centralized and decentralized exchanges (CEXs and DEXs). Your role will be pivotal in identifying and capitalizing on unique market opportunities arising from new token launches, liquidity programs, and incentive structures.Be part of a forward-thinking team that is unencumbered by traditional obligations, allowing for rapid strategy iteration and effective capital allocation. You will also play a key role in our expansion into the Perpetual DEX ecosystem, merging traditional finance insights with decentralized finance innovations.

We invite you to apply to the position that aligns best with your skills and experience. Should our team determine you are a better fit for another role, we will reach out regarding that opportunity. Position Overview: We are seeking driven graduates or early career professionals passionate about finance and equipped with a background in computer science, engineering, mathematics, or other STEM disciplines to join our three-year Desk Quantitative Analyst program. Throughout this program, you will collaborate closely with seasoned Quantitative Researchers and Traders to adapt to the dynamic requirements of our trading desks. Enhance and maintain the codebase and configurations of strategies within our automated trading framework. Manage extensive datasets utilized for both research and operational purposes. Conduct live and historical monitoring of trading activities, including post-trade analyses and production reconciliations. Potential to transition into a Junior role in Quantitative Development or Quantitative Research, based on your individual performance. A Day in the Life of a Desk Quant Analyst: Before market opening, ensure all necessary data and processes are prepared for the trading day. During market hours, intermittently monitor the behavior and performance of strategies. Engage in various long-term projects aimed at expanding our systematic trading capabilities and ensuring their resilience.

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.

As a Solution Innovation Specialist focusing on Product Innovation, you will play a pivotal role in driving innovative solutions that meet the evolving needs of our customers. Your expertise will guide product development, ensuring alignment with market trends and customer feedback.

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

Graham Capital Management, L.P. ("Graham") is a premier alternative investment firm established in 1994 by Kenneth G. Tropin. With a focus on discretionary and quantitative macro strategies, Graham is committed to generating robust, uncorrelated returns across diverse market conditions. As one of the longest-standing managers in the global macro and trend-following space, Graham continuously innovates, adapting its strategies through a sophisticated investment, technology, and operational framework. By leveraging the interplay between its discretionary and quantitative trading operations, Graham provides a comprehensive suite of complementary alpha strategies, all grounded in prudent portfolio construction, proactive risk management, and intentional diversification.The cornerstone of Graham’s sustainability and success lies in the expertise and contributions of its team. The firm is dedicated to nurturing talent, promoting a diversity of perspectives, and valuing the input of all team members. Consequently, every employee plays a crucial role in empowering their colleagues.DescriptionGraham Capital Management, L.P. is excited to welcome a Quantitative Research Analyst to our Quantitative Strategies team, reporting directly to a Quantitative Research Manager. The successful candidate will be instrumental in researching and enhancing our current trading systems while developing new systematic trading signals designed to complement and diversify our core strategies. By employing advanced quantitative analysis, risk management, and portfolio optimization techniques, this role aims to maximize performance and maintain a competitive edge.

Role Overview Fasanara Capital is seeking a Quantitative Researcher in London. This position focuses on applying advanced analytical methods to support investment strategies and strengthen data-driven decisions. The role involves close collaboration with the investment team to analyze market trends and build predictive models. What You Will Do Apply quantitative techniques to research financial markets and identify patterns Develop and refine predictive models to inform investment decisions Work alongside investment professionals to translate research into actionable strategies Contribute to the team’s understanding of market dynamics with rigorous analysis Location This role is based in London, England, United Kingdom.

Join Spotlight Sports Group, a leading global media and technology firm specializing in sports betting, horse racing, and fantasy sports. With a talented workforce of over 400 professionals, we proudly manage renowned brands including Racing Post, Pickswise, myracing, and Free Super Tips. Our partnerships with top-tier operators in the betting sector enable us to create exceptional, multilingual digital products and engaging content that captivates and informs customers. Under our umbrella, ICS-digital operates as an international marketing agency, including ICS-translate.Role OverviewThe Social Media & Paid Advertising Executive will spearhead the execution and performance of organic social media content and paid media campaigns tailored for the UK and Ireland markets. This position plays a crucial role in establishing a strong brand presence in the sports betting industry while driving measurable growth.Key Responsibilities:Lead daily organic social media content creation across platforms such as X, Instagram, Facebook, and TikTok, with a strong focus on English football.Develop and sustain a cohesive brand voice across all social channels.Craft captivating, platform-specific copy and collaborate on the creation of complementary visual assets.Plan, implement, and optimize paid social media campaigns across Meta, X, and TikTok for various brands.Oversee campaign budgets, ensuring precise tracking and effective allocation of resources.Construct and evaluate target audiences, including retargeting and lookalike segments, to enhance campaign performance.Analyze and optimize both organic and paid media performance through data-driven insights.Provide clear performance reports and actionable recommendations to stakeholders.Ensure that all content and campaigns adhere to relevant gambling regulations.Qualifications:A minimum of 2 years of experience in social media management, with a preference for candidates with paid media experience.In-depth knowledge of sports, particularly English football, and familiarity with betting audiences.Exceptional copywriting abilities and a solid grasp of social media best practices.Proficient in analyzing performance metrics and optimizing campaigns accordingly.Highly organized, detail-oriented, and capable of thriving in a fast-paced environment.Benefits:We offer a comprehensive range of wellness initiatives, including private medical insurance, generous parental leave, a global working policy, mental health support, and various assistance programs. Additional benefits include a pension scheme, birthday leave, and 25 days of annual holiday. Our employees also enjoy life assurance, exclusive perks such as the Star card, and recognition through our Step Further Awards program. For those following a hybrid work model, we facilitate commuting with a Season Ticket Loan and a Cycle to Work Scheme.