Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.
We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This role is based in Stamford, Connecticut.
The role
We are committed to finding the world’s best Engineers and take the hiring of this type of talent very seriously. As a Risk Software Engineer you will support the build, implementation and ongoing development of the organizations in-house portfolio risk platform.
Working closely with other teams from across the business, including Market Risk Management, Quantitative Research and Financial Operations, the risk platform provides the organization with the capability to assess performance and risk. It is vital to continue those close relationships in order to understand the business context, challenges and help get the most out of the portfolio risk platform.
This role will suit an engineer who is looking to contribute to the operational success of a leading quantitative finance research firm by developing software to compute and visualize portfolio behavior to inform risk management.
Key responsibilities of the role include:
- Enabling a cloud-first architectural strategy for the Market Risk platform
- Creating batch data and real-time pipelines computing a wide variety of position and portfolio metrics
- Building microservices to expose large datasets in intuitive ways
- Diagnosing and resolving issues impacting a live automated trading environment
Who are we looking for?
The ideal candidate will have the following skills and experience:
- Proficiency in cloud platforms and containerization
- Experience of successfully implementing cloud re-architecture and migration projects
- Experience with at least one OO programming language, ideally C#, Scala or Java
- An appreciation of good software architecture, computer science fundamentals, data structures and CI/CD
- Experience building large scale equity, multi-asset risk management systems, with proven track record from inception to delivery.
Beneficial experience would include:
- Experience working within quantitative finance
- Experience with third-party quantitative and integration platform vendors, such as Barra, Axioma, Beacon, or Numerix
- Experience with front-end development such as Angular or React
Why should you apply?
- Market-leading compensation plus annual discretionary bonus
- Excellent paid time off allowance of 25 days
- Generous 401(k) plan
- Medical, Dental and Vision insurance
- Informal dress code and excellent work/life balance
- Parental leave
- Life and Accidental Death & Dismemberment (AD&D) insurance
- Substantial relocation allowance and support
- Great selection of office snacks, and hot and cold drinks
