Job Title: Pricing Model Validation Analyst Location: London Department: Model Validation/Quantitative Analytics Reporting to: Head of Model Validation Overview: An international investment bank is seeking a Pricing Model Validation professional to join its London-based Model Validation team. This role focuses on the independent review and validation of pricing and risk models used across the firm’s … models cross asset classes, with a focus on derivatives. Assess the conceptual soundness, implementation correctness, and ongoing performance of pricing and valuation models. Rebuild models in Python or other quantitative libraries to benchmark performance and accuracy. Review model documentation, assumptions, numerical methods, calibration techniques, and risk sensitivities. Conduct quantitative testing including backtesting, stress testing, and scenario analysis. Liaise … where necessary. Contribute to validation reports that meet internal governance and regulatory expectations. Maintain ongoing monitoring of model performance, usage, and limitations. Candidate Profile: MSc or PhD in a quantitative field. Knowledge of quantitativefinance, in particular stochastic calculus and numerical methods. Fluency with Microsoft Word and Excel, working with potentially large spreadsheets. Fluency with programming More ❯
processes and methodologies. Experience with the TorQ framework for KDB+, qspec, and qunit frameworks is advantageous. Knowledge of Altair Panopticon and Front Office knowledge of the FI business or quantitative finance. Familiarity with Gitlab, including Gitlab CI/CD, JFrog Artifactory, and Rundeck Masterdeploy is a bonus. Day-to-day of the role: Liaise with traders to understand requirements More ❯
processes and methodologies. Experience with the TorQ framework for KDB+, qspec, and qunit frameworks is advantageous. Knowledge of Altair Panopticon and front office knowledge of the FI business or quantitative finance. Familiarity with Gitlab, including Gitlab CI/CD, JFrog Artifactory, and Rundeck Masterdeploy is a bonus. Day-to-day of the role: Liaise with traders to understand requirements More ❯
spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at the intersection of empirical finance and … natural language processing to create decision-relevant metrics that address critical investor needs and enhance our index and data offerings. In partnership with Scientific Beta’s established team in quantitativefinance research and its product design teams, you will be instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information … skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯
EXPERIENCE REQUIRED: Some demonstrable commercial experience coding in Rust Understanding of trading strategies such as arbitrage, market-making, or execution flow Solid grasp of algorithm design, data structures, and quantitativefinance fundamentals including concepts like limit order books, price discovery, and microstructure dynamics Exposure to performance-critical systems: real-time data flows, shared memory communication, and techniques More ❯
Quantitative Developer - London - leading quant trading firm - exceptional comp & bens We are working with a leading systematic hedge fund who are seeking talented Quantitative Developers to work in the front office space alongside quant researchers, data scientists and engineers of various disciplines. As an embedded quant developer, you will work closely with the business to analyse data and … Python and/or C# (other OO languages are a plus) Solid understanding of software architecture, algorithms, data structures and computer science fundamentals Interest or experience in quant finance Advanced knowledge of the python data science stack (Pandas, NumPy, SciPy) is a plus Strong academic background from a top tier university a major plus If this sounds of More ❯
Location: London, UK Domain Focus: High-Frequency Trading (HFT) Experience: 4+ years of professional experience in HFT or a related quantitative trading environment International Talent: Yes, international applicants are encouraged. Are you an exceptional quantitative trader with a proven track record of success, who is looking for a new challenge? This is a rare opportunity to apply your … with insatiable curiosity and a proven history of turning complex data into market-beating strategies. Career Path: You've navigated a career focused on the practical application of advanced quantitative models to solve real-world trading problems. Your professional journey is marked by an evolution from model development to full-cycle strategy execution, where you've taken ownership of … trade-offs between speed and risk, and the ability to clearly articulate complex ideas to both technical and non-technical stakeholders. Technical Prowess: You have a strong command of quantitative trading principles and are proficient with relevant technologies. Deep knowledge of statistical modelling, machine learning techniques, and time series analysis. Hands-on experience with back-testing frameworks and simulation More ❯
extensive GPU infrastructure, and production-level trading strategies fully powered by Machine Learning. They are now entering a new phase, seeking an industry-leading figure outside of Quant Finance to redefine the frontiers of ML within their operation. The ideal candidate will be academically recognised, deeply hands-on, and possess a proven track record of shipping truly novel … ML products. A background in Finance is not required - in fact, they are deliberately seeking someone with an orthogonal perspective to bring fresh thinking into the domain. This person will unify a department already staffed with exceptional researchers from Academia and Big Tech (with backgrounds in areas such as LLMs and Causal Inference), and collaborate closely with a More ❯
