Quantitative Developer (Fixed Income)

Are you a quantitative developer with strong Python skills and fixed income product knowledge interested in joining the front office of a leading asset management firmMy client has a small high-impact analytics team that is looking for a Fixed Income Analytics Engineer

If you are excited about a hybrid quant developer / analytics infrastructure role where your work sits directly in the front office and where your platform powers the firms traders and researchers every day then this is the opportunity for you.

Whats the Job

My client is hiring a Quantitative Developer to join a small front-office analytics team at a leading fixed income asset manager in New York.

The team owns the firms analytics platform the front-office system hosting quantitative models and numerical applications built both by the team itself and by the firms researchers. This is far more than software development: the role spans quantitative development data analytics and application development.

Youll build and maintain analytics infrastructure develop desk tools and productionize models coming out of quantitative research including code review as the firm expands its quant hiring. Think of it as quant dev plus infrastructure: youre not just hosting your own models youre the bridge that takes research-grade quantitative models into production.

Youll report directly to the team lead on a tight-knit team with high visibility to traders researchers and senior leadership. Its a rare seat combining hands-on engineering with real exposure to the investment side of the business.

Requirements

• 3-7 years of professional experience as a quantitative developer analytics engineer or in a similar role (flexible for the right candidate).

• Strong Python skills: this is the primary language. C is a plus used for computational speed on heavy simulations and evaluations (not HFT-style low latency).

• Financial product knowledge is important; experience with structured products (RMBS ABS CMBS CLO) is a strong plus but trainable if the technical skills are there.

• Training at a major bank or large asset manager is preferred.

• Masters degree is preferred.

• Comfort on a small team where youll wear multiple hats across development analytics and infrastructure.

Compensation

• Total compensation $300k - $350K

Location

This role is based in the firms New York City office five days a week with potential flexibility for one remote day down the road.

Interview Process

Three rounds designed to move quickly:

1. Phone screen with the hiring manager.

2. Onsite (half day): meet the team peer teams and desk users technical and business knowledge.

3. Final onsite with senior leadership more conversational.

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Candidates able to start right away are preferred (US Citizens / Green Card holders); exceptional H1B transfer candidates will be considered.

To learn more apply here today or contact me directly at: .