Quantitative Developer

Mondrian Alpha; New York (NY); On-site; USD 200,000 - 250,000; Full time

Job summary

An established industry player is seeking a senior quant technology leader to innovate investment tools for multi-asset strategies. This full-stack engineering role requires deep expertise in Python and R, along with a strong background in database management and cloud infrastructure. Ideal candidates will have a proven track record in quantitative development, translating complex research into effective investment solutions. Join a dynamic team where your contributions will directly impact investment strategies and drive innovation in financial services.

Qualifications

• Deep hands-on experience implementing scalable, production-ready systems.
• Expertise in building platforms for alpha research and risk management.

Responsibilities

• Drive development of next-gen investment tools for multi-asset strategies.
• Lead cross-functional collaboration with portfolio managers and researchers.

Skills

Python

R

PL/SQL

Cloud Infrastructure

Distributed Computing

Optimization Tools (Gurobi, CPLEX)

Job description

This range is provided by Mondrian Alpha. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $250,000.00/yr

Direct message the job poster from Mondrian Alpha

Executive Recruiter in Quant, Analytics and Research in Structured Products and Risk Management

We have been retained by a leading global asset manager seeking a senior quant technology leader to drive the development of next-generation investment tools supporting multi-asset strategies across equities, fixed income, and alternatives.

The ideal candidate will have deep hands-on experience implementing scalable, production-ready systems that translate sophisticated quantitative research into live investment tools. This is a full-stack engineering leadership role at the intersection of technology and investment process innovation.

Qualified candidates will have expertise in Python and R, strong database experience (PL/SQL), and a track record building platforms for alpha research, portfolio construction, and risk management. Prior experience working with cloud infrastructure, distributed computing, and optimization tools (e.g., Gurobi, CPLEX) is highly preferred. Team leadership and cross-functional collaboration with portfolio managers and researchers is essential.

Please note: candidates without relevant experience in investment-related quantitative development will not be considered.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Information Technology, and Finance

• Industries

  Financial Services and Investment Management

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