The Quantitative Research Engineer will build and maintain research tools, validate trading strategies, and assist in trade execution and analytics for a hedge fund.
Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are hiring a Quant Research Engineer to work directly with a Portfolio Manager. This role is focused on building, running, and maintaining robust research and analytics that support real trading decisions.
Responsibilities:
- Run and maintain research dashboards and analytics so they update automatically.
- Maintain factor sets and data integrity.
- Build and maintain rolling seasonality studies.
- Backtest and validate existing strategies and analytics.
- Build internal swap RV / curve / carry analytics (RiskVal-style).
- Replicate sell-side analytics internally using clear, explicit logic.
- Own historical datasets, backfills, and monitoring.
- Surface trade candidates based on defined rules.
- Reduce manual checks and repetitive PM workload.
- Monitor trades, orders, and entry/exit levels.
- Execute funding and simple trades under instruction.
- Assist with booking, allocation, and PnL reconciliation.
- Provide limited operational cover when the PM is away.
Qualifications:
- Strong Python (pandas, numpy, time-series work).
- Applied statistics / optimization.
- Experience working with financial market data.
- Understanding of rates / FX instruments, curves, roll, carry, funding.
- Experience building and maintaining production analytics.
- High attention to detail and ownership mindset.
Top Skills
Numpy
Pandas
Python
Similar Jobs
Fintech • Mobile • Payments • Software • Financial Services
Lead product analytics for Wise Business Multi-User Access: deliver data-driven insights, define KPIs, run A/B tests, build automated pipelines and dashboards, and drive cross-team product decisions to improve adoption and reduce risk.
Top Skills:
Sql,Dbt,Airflow,A/B Testing
Fintech • Mobile • Payments • Software • Financial Services
Lead counterparty credit risk for banks, NBFIs, and corporates: perform deep financial analysis, set and monitor credit limits, refine internal rating models, run stress and concentration testing, contribute to capital and liquidity modeling (ICARA/ILAAP), and present recommendations to Credit Risk Committee and ALCO.
Enterprise Web • HR Tech • Information Technology • Software • Cybersecurity
Join the UK engineering team to design, build and maintain the Immersive One frontend. Collaborate with product and QA, write test automation, improve developer experience, resolve incidents, participate in on-call, mentor engineers, and help translate product requirements into robust, scalable frontend solutions.
Top Skills:
React,Typescript,Graphql,Playwright,Ruby On Rails,Node.Js,Python,Docker,Kubernetes,Ci/Cd,Git,Html,Css,Sass,Styled-Components
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
