Front Office Full-Stack Engineer

Reposted 8 Days Ago
Stamford, CT
In-Office
Mid level
Big Data • Fintech • Information Technology • Machine Learning • Financial Services
The Role
The role involves enhancing a trading platform's command & control infrastructure and user experience, collaborating with teams and delivering strategic UX vision.
Summary Generated by Built In

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.

The role

We provide our clients with a cutting-edge, multi-asset, globally distributed, real-time trading platform. As this platform expands, we need to evolve our command & control infrastructure and user experience to stay ahead of our clients’ management, monitoring, and diagnostic needs.

This evolution will involve far more than improving a suite of user interfaces. You will need to understand and build-out the user experience optimised to multiple stakeholders across Research, Engineering, and the Front Office.

As part of the Research Engineering organisation, you will initially enhance our existing stack, understanding the needs of the business, and ultimately own the longer-term vision for how the stack should develop. You will then secure buy-in for this vision, and take responsibility for development and delivery.

Key responsibilities of the role include:

  • Initial expansion of our existing stack (C# / TypeScript)

  • Ownership for the command & control infrastructure spanning the entire trading pipeline

  • Defining, communicating, and implementing the strategic vision for the UX

  • Collaborating with Engineers in both London and Connecticut to build the platform

  • Following enterprise-grade software engineering best-practices

Who are we looking for?

You will be an enthusiastic and capable Engineer who is able to solve real-world problems, with a strong sense of UX aesthetics. You should be flexible and proactive, with the ability to make complex systems work and to debug them when they don’t. You should enjoy working as part of a collaborative engineering team.

The ideal candidate will have the following skills and experience:

  • A breadth of experience in the UX space, combining a clear understanding of what good looks like with the ability to communicate that understanding with clarity

  • Full stack engineering skills (ideally C# / WPF & TypeScript)

  • Ability to communicate well with technical and non-technical people

The following experiences would be beneficial, but not essential:

  • Experience collaborating with geographically disperse teams

Why should you apply?

  • Market-leading compensation plus annual discretionary bonus

  • Excellent paid time off allowance

  • 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

This role is employed through our US affiliate.

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section

Top Skills

C#
Typescript
Wpf
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The Company
Dallas, TX
1,039 Employees
Year Founded: 2001

What We Do

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.

We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.

We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.

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