
Maven Securities · London
Maven is a market-leading proprietary trading firm deploying its own capital across discretionary, systematic, and market-making strategies. Backed by deep expe...
Maven is a market-leading proprietary trading firm deploying its own capital across discretionary, systematic, and market-making
strategies. Backed by deep expertise in trading, technology, and research, we are relentlessly focused on improving liquidity
across global listed derivatives. Through advanced execution and pricing technologies, we improve how financial markets operate.
As a Senior Quantitative Researcher, you will lead projects that have a direct impact on our trading performance. You will work
collaboratively with other researchers and traders from various scientific fields and prestigious academic institutions, to
develop innovative real-time trading models and solutions for low latency trading systems for exchange-traded options. You will
share your knowledge and expertise with other researchers to tackle various challenging projects including but not limited to
option pricing and volatility models, algorithm design and alpha research.
conducting independent research.
strategic vision, and a real team player with other quants in the team.
The Options Market Making team at Maven Securities operates under a strict direct sourcing model. We are committed to managing all
recruitment activities internally to ensure a consistent and transparent candidate experience. As such, we do not accept
unsolicited CVs or introductions from recruitment agencies. If you're interested in this opportunity, please apply directly.
Senior Quantitative Researcher - Options Market Making Maven is a market-leading proprietary trading firm deploying its own capital across discretionary, systematic, and market-making strategies. Backed by deep expertise in trading, technology, and research, we are relentlessly focused on improving liquidity across global listed derivatives. Through advanced execution and pricing technologies, we improve how financial markets operate. The role: As a Senior Quantitative Researcher, you will lead projects that have a direct impact on our trading performance. You will work collaboratively with other researchers and traders from various scientific fields and prestigious academic institutions, to develop innovative real-time trading models and solutions for low latency trading systems for exchange-traded options. You will share your knowledge and expertise with other researchers to tackle various challenging projects including but not limited to option pricing and volatility models, algorithm design and alpha research. What we’re looking for: * Academic degree in applied mathematics, computer science, statistics engineering or physics. PhD or any other track record in conducting independent research. * Minimum 3+ years of experience in the financial industry, particularly electronic options trading. * Ability to research advanced algorithms, develop predictive models and verify complex hypotheses using large datasets. * Proactive interest in improving existing trading strategies and identifying new opportunities. * A collaborative bridge between developers, and traders who aligns technical work with commercial impact and the broader strategic vision, and a real team player with other quants in the team. Why you should apply: * Rare opportunity to take a high level of responsibility at a fast-growing global trading firm * Opportunity to be highly involved in the decisions that shape our trading * Flexible research environment to iterate on your ideas quickly and see the impact of your work in production * Leadership opportunities as the team grow * Great engineering environment where technology, creativity and innovation is key to our success * An environment where you’re empowered and supported to achieve your ambitions * Friendly, informal and highly rewarding culture * The upside of a start-up without the associated risks WHAT WE CAN OFFER YOU * Competitive compensation * Annual discretionary bonus * Fully catered breakfast and lunch * 25 days’ annual leave * Informal dress code * Private healthcare and life assurance * Group Pension plan The Options Market Making team at Maven Securities operates under a strict direct sourcing model. We are committed to managing all recruitment activities internally to ensure a consistent and transparent candidate experience. As such, we do not accept unsolicited CVs or introductions from recruitment agencies. If you're interested in this opportunity, please apply directly.
SHORT FACTS Join us on our journey at Entrix: We are looking for an experienced Quantitative Researcher to shape how we trade flexibility from our customers' battery assets across European power markets. We operate in markets that run 24/7 (DAA, IDC, aFRR, and others), meaning every model decision we make turns into real positions, real risk, and real revenue. In this role you will guide the next generation of algorithmic trading at Entrix to keep us at the forefront of innovation. Sitting at the intersection of quantitative research and applied data science, you will own the alpha generation pipeline behind our algorithms, from signal research and backtesting through to live trading and P&L attribution. This is a staff-level individual contributor role where you will spend your time on the hardest problems in the team: framing ambiguous trading challenges, designing systems that combine machine learning and optimization to deliver impactful results, and mentoring data scientists to raise the bar across the team. As one of the most senior members of the team, you will own the technical vision for our trading algorithms, help drive the team roadmap, and mentor a strong group of individual contributors working on the hardest problems in the European energy transition. * Location: Munich, Germany * Employment Type: Full-Time, indefinite term * Salary Range: € 115.000 - 135.000 per year gross depending on the seniority level * Office-first work setup * Language Requirement: C1 Level English YOUR RESPONSIBILITIES * Shape the technical vision and roadmap for our algorithmic trading stack, breaking that vision into work the team can deliver, communicating trade-offs, and driving alignment on methodology, success metrics, and system design. * Research, develop, and productize forecasts and strategies that generate alpha by trading flexibility in real-time European energy markets (DAA, IDC, aFRR, etc.), combining ML and optimization techniques to make 24/7 trading decisions. * Enhance our the backtesting, simulation, and P&L attribution capabilities that turn research into live strategies, with rigorous overfitting controls, risk-adjusted evaluation, and automated testing. * Foster technical excellence across the team by mentoring data scientists through design and code review, and by championing engineering rigor in code quality, observability, and reproducibility. * Own the delivery of complex, ambiguous projects from research to production. YOUR PROFILE Mandatory Requirements * 7+ years industry experience in quantitative research or applied data science, with significant time developing live trading algorithms in energy or financial markets. * Proven track record of P&L contribution from strategies you researched, backtested, and shipped to live trading. * Deep understanding of trading mechanics: price formation, market microstructure, execution, slippage, risk, and position sizing. * Strong fundamentals in time series modelling under non-stationarity and regime shifts, with disciplined backtesting practice (risk-adjusted metrics, overfitting controls, walk-forward validation). * Strong expertise in python and software engineering practices: testing, code review, CI/CD, monitoring, modular code design, and taking machine learning and/or optimization models from research into production systems. * Track record of mentoring junior team members and raising the technical bar of the team. * University degree in Computer Science, Mathematics, Physics, or a related quantitative field. * Excellent English communication and interpersonal skills. Skills to Set You Apart * Direct experience trading battery storage, flexibility, or other assets in European power markets. * Experience combining machine learning (forecasting, signal generation) with mathematical optimization (LP, MILP, stochastic) in a single production-level system. * Experience with financial derivatives (especially options), market making, or HFT systems. YOUR BENEFITS * Competitive Compensation Package: Including salary, benefits, and potential for growth. * Professional Development: Annual development budget of €3,000 for coaching, training, books, etc. * Health & Sport Subsidy: Company-subsidized sports facility memberships. * Public Transportation Subsidy: Monthly subsidy for your public transport ticket. * Lunch/Dinner Allowance Vouchers: Digital meal vouchers for workdays. * Work Equipment: Your choice of MacBook or Windows Laptop and ergonomic workplace setup. * Regular Team Events: Knowledge sessions, afterwork hangouts, sports events, and company offsites. A SHORT NOTE FROM YOUR FUTURE LEAD I’m Austin Todd, Data Science Manager at Entrix. I lead our team of Data Scientists developing innovative algorithms for energy trading and optimization. In my career I’ve had many exciting challenges and opportunities, with a consistent focus on developing innovative technical solutions in the energy industry and facilitating a transition to green energy solutions. Here’s a quick snapshot of my journey so far: * Data Science Manager @ sonnen (2021–2026): Built and scaled cross-functional data science teams, shaping the company vision for data science and AI development. * Data Scientist IV @ NREL (2019–2021): Led research & development efforts for data science applications in wind and solar energy, transportation, and data center operations. * Lead Data Scientist @ MeteoGroup (2017–2018): Drove the development of ML applications to build risk management tools for energy grid transmission operators. * Data Scientist @ Telekom Innovation Labs (2015-2017): Supported new client acquisition for Deutsche Telekom through building of innovative data science solutions. Having spent most of my career building data science applications in the energy industry, I bring both a deep technical knowledge of data science methodology and an understanding of how they can help shape the future of industry like energy. As a manager, I help my teams by fostering innovation and research while driving rapid development that has a meaningful impact. At Entrix, we believe great tech starts with great people. Collaboration, creativity, and an unrelenting focus on delivering results are at the heart of everything we do. If you’re ready to work with a team that’s reshaping industries and tackling some of the toughest challenges, I’d love for you to check out our opportunities. Join us, and let’s build something extraordinary together. Looking forward to seeing what we can create. YOUR CONTACT IN OUR PEOPLE TEAM If you have any questions, feel free to send us an email to talent@entrixenergy.com. We are looking forward to receiving your application!
Compensation: Competitive (Financial Services) About TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk. The Role We are seeking a Senior Quantitative Developer (VP) to take a leading role in designing, building and validating our pricing models. This includes creating financial pricing libraries for multiple asset classes, calculators and risk algorithms. The successful candidate will combine excellent mathematical skills with proven experience in financial markets and the ability to productionise high-quality software. The capacity to put yourself in the eyes of a trader will be very useful as we continue to ensure our product’s capabilities are ahead of competitors in the market. Responsibilities: * Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms * Using our in-house big data language for the large-scale analysis and production of securities data * Research and development of market dynamics across multiple asset classes * Prototyping, testing, and validation of TradingHub’s proprietary models * supporting and coaching more junior team members Requirements * Proven financial markets experience, ideally within an investment bank or pricing-related firm * Proficiency with C#, Python or another object-oriented programming language * Evidence of exceptional mathematical and analytical skills * A clear understanding of market risk, preferably for fixed-income * Good knowledge of derivatives (e.g. options, swaps, futures etc.) * Good knowledge of database technologies such as SQL, Postgres etc. * Able to deliver projects to agreed deadlines with excellent prioritisation skills Benefits Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self. Employee Benefits: * Annual discretionary performance bonus (permanent employees only) * Hybrid working policy * Office lunches twice a week * Private medical insurance + dental cover * Extended parental leave (up to 6 months of fully paid maternity leave) * 25 days annual leave + bank holidays * Enhanced company pension plan * 5 days study leave towards professional qualifications * Salary sacrifice schemes * Death in service coverage Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.