Front Office Quantitative Developer (Python) – HFT – NYC – WFH - Market Leading Compensation

Mondrian Alpha; New York (NY); Hybrid; USD 130,000 - 220,000; Full time

Job summary

Mondrian Alpha, a top-tier investment firm, seeks a Front Office Quantitative Developer (Python) to enhance risk analytics systems. This role offers exposure to high-performance trading technology with competitive compensation in a supportive and innovative culture.

Benefits

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Tuition assistance

Qualifications

• Deep expertise in Python and C++ required.
• Experience in high-performance trading environments is a plus.
• Strong foundation in algorithms and data management.

Responsibilities

• Design and optimize high-performance systems for real-time analytics.
• Develop front office tools for Portfolio Managers and Traders.
• Collaborate to translate requirements into software solutions.

Skills

Python

C++

Data structures

Algorithms

Memory management

Multi-threading

Education

Bachelor's in Computer Science or related field

Job description

Front Office Quantitative Developer (Python) – HFT – NYC – WFH - Market Leading Compensation

Front Office Quantitative Developer (Python) – HFT – NYC – WFH - Market Leading Compensation

2 days ago Be among the first 25 applicants

Direct message the job poster from Mondrian Alpha

Associate Consultant at Mondrian Alpha - HFT / Prop / Systematic Trading Technology - London & America

Front Office Quantitative Developer (Python) – HFT – NYC – WFH - Market Leading Compensation

Join a high-performing investment firm with a global footprint and a deeply collaborative culture, where you'll build the next generation of risk analytics infrastructure from the ground up.

We are hiring a Senior Python Developer to join a lean, high-impact Risk Technology team as an individual contributor. This is a newly created role due to increased project demand and the success of internally developed tools. You’ll work closely with risk managers and investment professionals to design and scale core systems that support portfolio-level risk attribution, exposure analytics, and performance reporting.

Key Responsibilities:

• Design, build, and optimize high-performance systems to process massive datasets for real-time and batch analytics.
• Developing front office tooling for Portfolio Managers and Traders
• Develop internal tools for risk attribution, PnL decomposition, and exposure reporting.
• Collaborate directly with risk managers and other stakeholders to translate requirements into scalable software systems.
• Maintain and evolve the infrastructure supporting firmwide risk reporting at the board and portfolio level.

Required Technical Skills:

• Deep Python and C++ expertise, particularly around performance optimization, memory management, and multi-threading.
• Strong foundation in data structures, algorithms, and memory models.
• Ideally, experience with Java, C++, or C# to complement lower-level computing knowledge.
• Demonstrated ability to solve complex technical problems from first principles (not reliant on ChatGPT or rote memorization).

Preferred Background:

• Experience from high-performance trading firms, quant shops, or HFTs (e.g., top-tier hedge funds or tech-driven trading firms).
• Strong CS fundamentals, with a track record of building complex, performant systems end-to-end.
• Background in technical competitions, open-source projects, or academic excellence in technical domains a strong plus.

Why Join?

• Work on mission-critical systems alongside a small, elite engineering team with high visibility across the firm.
• Enjoy the flexibility to shape the architecture and drive innovation from the ground up.
• Hybrid NYC-based model with optional access to satellite offices and a high degree of ownership.

If you’re a hands-on builder who thrives on complex technical challenges and wants to drive innovation in a flat, collaborative environment—apply now.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Finance, and Information Technology

• Industries

  Investment Management, Financial Services, and Environmental Services

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Child care support

Pension plan

Paid paternity leave

Student loan assistance

Tuition assistance

Disability insurance

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