Front Office Quantitative Developer (Python) – HFT – NYC – Up to $700k TC

Mondrian Alpha; New York (NY); Hybrid; USD 200,000 - 700,000; Full time

Job summary

Mondrian Alpha is seeking a Front Office Quantitative Developer in NYC to build advanced risk analytics infrastructure. You will engage with a collaborative risk technology team, creating systems for portfolio-level risk management and exposure analytics. This hybrid role offers a unique opportunity to influence technological architecture in a leading investment firm, with a competitive salary package of up to $700k.

Benefits

Flexible working hours

Opportunity to shape architecture

Access to satellite offices

Qualifications

• Deep Python and C++ expertise required.
• Strong foundation in data structures and algorithms needed.
• Experience from high-performance trading firms is a plus.

Responsibilities

• Design and build high-performance systems for analytics.
• Develop tools for risk attribution and exposure reporting.
• Collaborate with stakeholders to translate system requirements.

Skills

Python

C++

Data Structures

Algorithms

Memory Management

Multi-threading

Education

Bachelor's or higher in Computer Science or related field

Tools

Java

C#

Job description

Front Office Quantitative Developer (Python) – HFT – NYC – Up to $700k TC

Front Office Quantitative Developer (Python) – HFT – NYC – Up to $700k TC

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

Front Office Quantitative Developer (Python/C++) – HFT – NYC – WFH - Up to $700k TC

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.
• 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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