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Market Risk Software Engineer

  • Software Engineering
  • Stamford

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
Location: Stamford
Apply Now
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What our people say

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Alexander Software Engineer

"I've felt very lucky to work with teams of people across the business who are generous with their time, knowledge and ideas as we collaborate to continuously build and rebuild complex systems with lots of moving parts."

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Dexter Software Engineer

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Sokratis Software Engineer

"My favourite part of working at G-Research is the people, from my colleagues to our customers. The culture is great and encourages collaboration, which makes it easier for everyone to work together."

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Matteo Quantitative Research Intern

"One of the things that has truly stood out to me is the collaborative and welcoming culture. I hadn’t expected such a supportive environment but it’s been one of the main reasons I’ve enjoyed working here from day one."

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Margot HRIS manager

"I enjoy how dynamic the work environment at G-Research is. It keeps you busy and continuously creates opportunities to develop yourself and your career, too."

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Mario FPGA Manager

"While some people might think working in finance may not be too exciting, at G-Research, it is, especially if you see it as a problem to solve. How do we solve this algorithm? How do we get faster? This is why I think people are really excited to work here."

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Simon Cyber Security Manager

"There are lots of people within the business that have started as a junior and progressed – which I think is testament to G-Research's belief in fostering growth and recognising potential."

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Sebastian Senior Quantitative Researcher

"G-Research makes a lot of effort to have a very open culture and gives a lot of freedom to its individual researchers to pursue directions that they think are valuable, with each researcher very much driving their own research. I didn’t feel like I was losing a lot of freedom compared to academia."

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Mia Software Engineer

"What I appreciate most about working in G-Research is the supportive and knowledgeable environment. Everyone is incredibly helpful and patient, which ensures there’s a good balance between being challenged and your workload."

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Yang Quantitative Researcher

"What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with engineers and other quantitative researchers."

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Interview process

Online Application

Our assessment process kicks off with our Talent Acquisition team, who will review your application and assess your fit for the role.

Stage One: Technical Interview

You will meet with a team member – or take a remote test – where your technical abilities will be put to the test.

Stage Two: Behavioural Interview

We will set aside technical skills and focus on you.

Stage Three: Further Technical Interviews

Here, we will take a deeper dive into your technical skills and competencies.

Stage Four: Management Interviews

The final stage of our interview process is where you will meet members of your team, your future manager, and functional leadership.

Market Risk Software Engineer Apply now

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