Senior Modelling Engineer II

Join OakNorth, where we are dedicated to empowering the UK’s most ambitious businesses. Since our inception in 2015, we have successfully lent over $18 billion across the UK and US, contributing to the creation of more than 58,000 new homes and 36,000 new jobs, while supporting hundreds of thousands of personal savers, all driving growth in the UK economy.Our lending operations serve as the backbone of our growth strategy, further enhanced by our expanding services in Business Banking and Personal Savings. We are looking for a Senior Fullstack Engineer to lead our digital lending initiatives and quantitative modelling efforts.

Join OakNorth in our mission to empower the UK's most ambitious businesses! Since our inception in 2015, we have successfully lent over $21 billion across the UK and US, contributed to the creation of more than 58,000 new homes and 36,000 new jobs, and supported countless personal savers — all while driving the UK economy forward.Our Team Mission We are at the forefront of modern, relationship-driven lending, utilizing innovative modular tools for origination, underwriting, execution, and portfolio monitoring.

Role Overview Legal & General is looking for a Senior Fullstack Software Engineer to help shape the future of our retirement services. This role focuses on designing and building software that supports and improves our products for customers in retirement. What You Will Do Develop and maintain software solutions across the stack to support retirement services Work closely with teams from different disciplines to deliver new features and improvements Contribute to technical decisions that raise the bar for quality and performance Focus on delivering reliable, maintainable code that enhances user experience Location This position is based in London.

Join Our Team at CapiCapi is revolutionizing the way businesses in emerging markets manage their international supplier payments—making it simple, swift, and equitable.With over $18M in support from leading investors including Creandum, Y Combinator, General Catalyst, and influential figures from Revolut, Checkout, Stripe, and Remitly, we are dedicated to establishing the robust financial infrastructure that emerging markets truly deserve.Our commitment to facilitating global trade empowers local enterprises to accelerate growth, create job opportunities, and enhance prosperity in their communities.Our mission is to uplift GDP in emerging markets by fostering a more equitable and accessible global financial system. We aim to streamline the payment processes for importers, enabling businesses to expand swiftly and act as catalysts for national prosperity.Our dynamic team of approximately 80 individuals, spread across 10 countries, embodies ambition and a results-driven mindset, striving to make a meaningful impact in the world. We are eager to welcome new talent to our team!Explore Capi's mission & values.Role OverviewAs a Senior Fullstack Engineer, you will be part of a compact, high-performing team of engineers and product leaders responsible for scaling our platform and amplifying our impact.From day one, you will collaborate closely with our founding team based in London and Paris, influencing the product vision and shaping the technical architecture of our solutions. This role is pivotal in developing technology that addresses customer challenges as we grow our offerings and enhance our footprint in emerging markets.Empathy and curiosity are essential to uncovering the root causes of problems, along with the creativity to devise solutions that harmonize impact, effort, and user satisfaction.Key ResponsibilitiesEngage in the product lifecycle from conception through to UI design, backend logic, deployment, feedback gathering, and performance measurement.Communicate effectively both internally and externally regarding new features, gathering feedback prior to implementation and articulating them upon launch.Determine and oversee delivery milestones, ensuring alignment between engineering and product priorities.

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.

Role Overview iwoca is looking for a Product Strategy Analyst to help guide the direction of our digital lending solutions. This role sits within the product team and focuses on turning data and research into actionable strategy. What You Will Do Analyze market trends and shifts in the digital lending space Research customer needs and behaviors to support product decisions Study competitors to identify gaps and opportunities Share insights that shape product development and strategy Impact Your work will help ensure iwoca’s digital lending products stay relevant and competitive in the market. Insights from your analysis will guide new features and improvements for our customers. Location This position is based in London.

About the RoleJoin our dynamic Collection Engineering team as a Senior Fullstack Engineer, where you will play a pivotal role in enhancing Elliptic's efforts to combat crypto crime. You will be instrumental in developing a robust platform that empowers our intelligence organization to efficiently gather and analyze critical information, making the world safer.Your team’s mission is to amplify Elliptic’s intelligence collection capabilities by processing data from diverse sources, including external feeds, internal automation, and client submissions. This intel needs to be systematically classified, stored, and reviewed before being integrated into our proprietary graph database.Collaborate with a talented group of engineers and data scientists to create innovative tools, streamline processes, and eliminate obstacles in our intelligence pipelines.Key ResponsibilitiesDesign and implement software solutions that enhance our intelligence collection and analysis capabilities, including services on Kubernetes and browser extensions.Develop applications to analyze cryptocurrency behavior and trends across both the clear and dark web.Establish observability mechanisms to identify issues within your environments and execute necessary business processes for resolution.Mentor and coach fellow engineers to foster growth and implement best practices within the team.Actively contribute to defining and refining the engineering strategy for your team.Ideal Candidate ProfileDemonstrates a strong passion for cryptocurrencies and blockchains from both technical and economic perspectives.Possesses excellent coding skills in Typescript with a proven track record of delivering effective solutions.Has successfully integrated various systems to improve operational efficiency.Enjoys collaborating within a tight-knit team to tackle impactful challenges, contributing to a safer crypto ecosystem.Promotes a collaborative culture characterized by open communication, especially when addressing issues or concerns.Able to construct well-reasoned, data-driven arguments to influence key stakeholders effectively.

Teza Technologies is actively seeking a highly skilled Senior Quantitative Researcher to become an integral part of our Options stream. This position calls for exceptional analytical capabilities, a steadfast dedication to excellence, and a fervor for identifying hidden patterns within data sets. If you are motivated by intellectual challenges and excel in tackling intricate problems, this role provides an extraordinary opportunity to advance your career.Our team cherishes determination, precision, and the capacity for both critical and creative thinking. Although the work is rigorous, the rewards are substantial, impacting your contributions and facilitating your growth in our collaborative, high-performance environment. We value autonomy and offer the freedom to develop cutting-edge algorithms in finance while emphasizing the vital aspect of effective communication.LocationLondon, UK (Hybrid mode with a requirement of 3 days in-office)Key ResponsibilitiesSpearhead the research and development of systematic options trading strategies across both US and global markets.Utilize advanced options pricing models, volatility surface modeling, and risk-neutral frameworks to generate alpha.Perform rigorous backtesting, stress testing, and statistical validation of strategies.Collaborate with technologists to translate research into production-ready trading systems with robust execution.Refine portfolio construction and risk management frameworks for options books.Contribute to the advancement of Teza’s options research platform, infusing innovation into live strategies.Mentor junior researchers and drive the continuous enhancement of research practices, infrastructure, and tools.Basic RequirementsDegree in Physics, Mathematics, Computer Science, Engineering, or another technical discipline.Strong mathematical skills in statistics, linear algebra, optimization, etc.A minimum of 4 years of quantitative research or trading experience in systematic trading.Extensive expertise in options, including volatility surface and derivatives pricing methods.Proficient programming skills in Python, with experience managing large, complex datasets.Solid understanding of risk management principles in derivatives trading.Ability to collaborate effectively across research and technology teams.

Position: Contract Technical Lead - Fullstack (Java/React)Compensation: £500 per dayContract Length: 6 monthsExpected Start: Early AprilWork Arrangement: On-site 2 days per week at our City of London officeAbout Us:AND Digital is a progressive technology firm committed to expediting digital transformation and bridging the digital skills gap. Since our inception in 2014, we have partnered with organizations to create superior digital products and cultivate robust digital teams.We strive to make a significant impact in everything we do, focusing on building strong, collaborative relationships with our clients through our regional offices, known as 'Clubs', ensuring they are supported by a dedicated team close to them.Our unique model has propelled our success, reflected in our impressive organic growth since 2014. Currently, we boast a workforce of over 1,300 professionals across Clubs in the UK, Europe, and the USA, with plans for global expansion in the coming years.Join us in our mission to close the digital skills gap across the globe.Your Role:We are on the lookout for a hands-on Technical Lead, who will also serve as an Architect and Engineering Leader, to spearhead a complex modernization initiative.Your Leadership & Influence:Technology Engineering Leadership: Demonstrated success in leading intricate software engineering projects, with a talent for converting enterprise-scale challenges into opportunities.Stakeholder Management: Proficient in client-facing delivery, with the ability to translate complex architectural solutions into substantial business value.Hands-on Approach: Comfortable leading projects from the front, with a focus on technical execution and a readiness to assist teams in achieving their goals.Your Strategic Mindset:Champion of Quality: You take pride in your work, advocating for quality assurance, security, and performance to ensure our client solutions are durable and trusted.Industry Knowledge: Committed to continual learning, staying abreast of industry standards, emerging engineering patterns, and best practices.Your Technical Expertise:Leading by example, you maintain the technical acumen necessary to oversee projects from architecture through to production and operational support.Engineering Proficiency: Full-stack experience in multiple programming languages, particularly Java and React, with a comprehensive understanding of engineering methodologies including pair programming, TDD, security by design, and observability.

About Gridcog Gridcog is a SaaS start-up focused on advancing the clean energy transition. The team brings together energy professionals building project modeling software that helps users make informed, strategic decisions about energy projects. Role Overview This Senior Simulation Engineer (Modeling) position centers on improving and expanding the simulation and optimization capabilities within Gridcog’s Python codebase. The work blends mathematical modeling, numerical methods, and production-level software engineering to deliver accurate, efficient, and reliable simulations at scale. What You Will Do Enhance and extend simulation and optimization features in the core Python platform Work with mathematical models and numerical methods to support complex energy project scenarios Ensure modeling outputs remain accurate and efficient as the platform grows About the Platform The Gridcog platform models the physical and commercial aspects of energy projects. It integrates technologies such as solar, wind, batteries, flexible loads, gensets, and EV fleets, capturing their interactions within electricity markets and tariff structures worldwide. Who Should Apply Simulation engineers with experience in modeling uncertainty and solving complex business problems Candidates with backgrounds in energy systems modeling are encouraged, but those with transferable skills from other modeling or data science domains will also be considered Location This position is based in London, England, United Kingdom.

Join us as a Senior AI FullStack Engineer at a rapidly expanding AI FinTech company, where your expertise will help shape the future of finance.About Us:We develop and deploy AI-powered tools and intelligent agents throughout their entire lifecycle, from conception to production.Our systems are designed with AI at their core, not as an afterthought.Transform experimental concepts into production-ready features that impact real users.Take ownership of projects from problem identification to user adoption.Collaborate closely with engineering and product teams to seamlessly integrate AI into daily operations.Establish effective methodologies for implementing AI in production environments.We are on a mission to create an AI-native bank tailored for ambitious businesses.Your Contribution:Train and refine large-scale audio and multimodal models.Design and execute experiments focused on architecture, data mixtures, and training strategies.Develop and enhance audio data pipelines.Optimize inference speed, latency, and overall production readiness.Deploy models in end-to-end, low-latency settings.Create meaningful evaluation metrics that go beyond standard benchmark scores.Work collaboratively with both research and engineering teams.This role is hands-on, bridging the gap between research and real-world application.Technical Environment:PythonLarge Language Models (LLMs) and AI toolsPostgreSQL, BigQueryTypeScript, ReactAWS, GCPDocker, Terraform, GitHub(Detailed technical stack will be shared during the interview process)Your Expertise:5+ years of experience in building and deploying production systems.Full-stack or deep backend/platform engineering skills.AI-native mindset: you leverage AI in your daily work and think in terms of agents, workflows, and automation.Product-focused: your priority is user adoption over mere output.You excel at transforming complex challenges into scalable solutions.Bonus Skills:Experience in financial technology.Familiarity with cloud services and infrastructure.Contributions to open-source projects.

Join Our Visionary Team at Runna!At Runna, we are on a mission to create the premier training platform for runners. Our innovative app empowers everyday athletes to excel, providing access to top-notch training, expert coaching, and a supportive community whether you're aiming to improve your 5k or preparing for your first marathon.Our rapid growth is fueled by a strong vision, backed by a recent $6.5M funding round led by JamJar and supported by Eka Ventures, Venrex, and Creator Ventures. In 2024, we had the honor of being named one of Apple’s three global finalists for the iPhone app of the year, and in 2025, we proudly became a part of Strava!We aspire to be the leading global training platform for millions of runners. With our recent acquisition by Strava accelerating our growth, this is an exciting time to join us. As part of our dynamic Train Team, which includes over 35 professionals from engineering, product, design, and coaching, you will play a crucial role in delivering exceptional training experiences to hundreds of thousands of runners worldwide. You will engage in developing personalized training plans at scale, analyzing performance data, and providing insights to our users based on their training and environmental conditions.We embrace a flexible hybrid working model, requiring you to be on-site three days a week at our London office.

Fasanara Digital, the cryptocurrency division of Fasanara Capital, has been at the forefront of digital asset investment for the past seven years. As a specialized alternative asset manager with over 14 years of experience, we adopt a rigorous quantitative approach to investing in crypto assets, aiming for exceptional risk-adjusted returns. Our diverse and sophisticated investment strategies leverage market inefficiencies, encompassing various techniques from market making to cross-exchange arbitrage.Our CultureAt Fasanara, we champion a meritocratic environment where individuals are recognized for their contributions and excellence. Our collaborative and entrepreneurial atmosphere is free from the constraints of bureaucracy, fostering trust and teamwork. We set high ambitions, work diligently, and uphold the highest standards of excellence, building our firm around exceptional talent.Position OverviewWe are looking for a Mid-Frequency Quantitative Researcher to spearhead the design, development, and deployment of systematic trading strategies within the digital asset market. This role will also support portfolio management for our multi-strategy book. You will be responsible for the entire research lifecycle, from idea generation and signal construction to implementation, monitoring, and continuous optimization, collaborating closely with execution and infrastructure teams.ResponsibilitiesConduct thorough research to develop and validate high-quality quantitative trading signals for the cryptocurrency markets.Lead the complete strategy development lifecycle, from hypothesis generation through to live deployment.Monitor live trading performance, assess risk exposures, and ensure strategy robustness.Continuously improve and refine existing models based on performance metrics and market dynamics.Create dashboards and analytics to facilitate monitoring and analysis of the Mid-Frequency strategy portfolio.Maintain clear documentation of research methodologies, findings, and enhancements.Effectively communicate insights, risks, and updates on strategies to internal stakeholders.

Join Spotify as a Senior Fullstack Engineer on our Commerce Platform team, where you'll play a critical role in shaping the future of our commerce solutions. You will collaborate with cross-functional teams to design, develop, and implement robust features that enhance user experience for millions. Your expertise will drive innovation and help us maintain our position as a leader in the music streaming industry.

Join Wayve as a Senior Fullstack Engineer focusing on data enrichment. In this pivotal role, you will collaborate with cross-functional teams to design, develop, and implement innovative solutions that enhance our data processing capabilities.You will leverage your expertise in both frontend and backend technologies to build robust applications while ensuring the highest standards of performance and security. Your contributions will directly impact the efficiency and effectiveness of our data-driven initiatives.

Founded in 2018, Causaly is at the forefront of transforming enterprise-scale scientific research through our innovative AI platform. Our technology empowers researchers to efficiently discover, visualize, and interpret biomedical knowledge, streamlining critical research workflows to tackle some of the most pressing health challenges of our time.We partner with leading biopharma companies and institutions, focusing on diverse use cases including Drug Discovery, Safety, and Competitive Intelligence. Visit our blog to learn how we enhance knowledge acquisition and decision-making: Blog - CausalyCausaly is proudly backed by renowned venture capital firms, including ICONIQ, Index Ventures, Pentech, and Marathon.

Join Our Team as a Senior/Staff Fullstack Software Engineer!Location: Fitzrovia, London (Hybrid – 4 days in-office, 1 day remote)About Wizeline:Wizeline is a pioneering global technology solutions provider that harnesses the power of AI to craft innovative digital products and platforms. Our partnerships with clients enable us to leverage data and AI to expedite market entry and catalyze business transformation. Within our vibrant community of innovators, we cultivate a culture that prioritizes growth, collaboration, and impact.At Wizeline, we believe that with the right people and ideas, there are no limits to our achievements.Are You the Right Fit?If you are excited about technology and innovation, we want to hear from you! We are seeking a Senior or Staff Fullstack Software Engineer to contribute to pivotal projects for our esteemed client in London. In this role, you will be responsible for developing scalable, high-performance services that power the next-generation financial platform, which includes applications for deal execution, invoicing, payment distribution, and financial reporting. You will play an essential role in architecting backend systems, integrating with external platforms, and delivering features that streamline complex revenue and transaction workflows throughout the organization.This position operates under a hybrid work model based in Fitzrovia (London), requiring four (4) days in-office and one (1) day remote.Key Responsibilities:Design and implement services to support revenue workflows, payment logic, and invoicing pipelines.Develop robust APIs and full-stack features, utilizing type-safe ORM tooling for schema management and query composition.Manage integration with internal systems (e.g., Salesforce, NetSuite) and external providers (e.g., banks, payment processors).Implement structured financial logic including contingent payments, commission calculations, and milestone-based billing.Incorporate AI/LLM capabilities using Claude (Anthropic) and utilize Cursor as a core development tool to enhance delivery speed.Build and deploy infrastructure in AWS.Translate complex business rules into deterministic backend logic including commissions, milestones, payee splits, and contingent payments.Implement robust data flows between Client Processing, Deal Management, and Authoritative Data domains.

We are seeking a skilled and motivated Quantitative Research Engineer to enhance our data and research platforms. In this pivotal role, you will work closely with our quantitative researchers, employing your engineering and data science expertise to create innovative tools and methodologies that boost research productivity. Your contributions will help optimize the research process, refine data analysis capabilities, and drive overall efficiencies in research efforts. This position demands a robust technical foundation, exceptional problem-solving abilities, and a collaborative spirit to work effectively with cross-functional teams. Key Responsibilities:Partner with quantitative researchers to identify workflow challenges and develop technical solutions that enhance research productivity.Design, develop, and maintain software tools and frameworks that improve the efficiency of research tasks, including data collection, preprocessing, and analysis.Implement advanced data processing algorithms and statistical methods to streamline research workflows and enhance analytical capabilities.Utilize your expertise in software engineering and machine learning to construct scalable systems for large-scale data analysis and experimentation.Conduct code reviews and mentor junior research engineers, ensuring high code quality and adherence to best practices.Collaborate with diverse teams to integrate research tools into existing infrastructures.Evaluate and implement third-party tools and libraries to optimize the research process.Engage in research discussions, providing technical insights to improve methodologies and strategies.Assist in creating documentation, user guides, and training materials for research tools and processes.

About Us: DV Trading is a prominent player in the financial services sector, leveraging proprietary capital, innovative trading strategies, and sophisticated risk management techniques to deliver liquidity across global financial markets and various asset classes. Established 20 years ago and headquartered in Chicago, our team has expanded to approximately 600 professionals operating across North America, Europe, the UAE, and Asia. The DV Trading group encompasses two broker-dealers, a futures commission merchant, and a registered investment adviser. Responsibilities: Create predictive models utilizing financial data through advanced statistical analysis techniques. Develop robust solutions to complex challenges faced in the trading environment. Transform research strategies into operational software applications. Formulate and implement mathematical modeling techniques to enhance existing trading strategies while embarking on innovative research aimed at identifying and capitalizing on trading opportunities. Requirements: A degree in a technical discipline, emphasizing statistics, machine learning, or computer science. Demonstrated experience collaborating with trading desks. Proficiency in managing large data sets effectively. Expertise in Python programming. Substantial hands-on experience applying algorithms in practical scenarios. Exceptional problem-solving and statistical analysis skills. A proactive approach in leading assignments and projects.