Quantitative Software Engineer - Systematic Hedge Fund

Acquire Me

United States

On-site

USD 200,000 - 350,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
401(k)
Paid maternity leave
Paid paternity leave

Job summary

A tech-first hedge fund is looking for a mid-senior Quantitative Software Engineer to join its elite team. You will develop and maintain research infrastructure that drives algorithmic trading strategies. The ideal candidate has a STEM degree and over 5 years of experience in software engineering, fluent in Python and/or C++. Competitive benefits include medical insurance and 401(k).

Qualifications

  • 5+ years of hands-on software engineering experience in Big Tech, hedge fund, or start-up.
  • Deep fluency in Python and/or C++.
  • Strong problem-solving and commercial instincts.

Responsibilities

  • Architect and build custom research infrastructure for alpha estimation and risk modeling.
  • Develop high-performance tools for data analytics and signal generation.
  • Write code for both live trading and simulation environments.
  • Create scalable data storage systems and ensure infrastructure performance.

Skills

Python
C++
Problem solving
Product-driven mindset

Education

STEM degree from a top-tier institution

Job description

Quantitative Software Engineer - Systematic Hedge Fund

This range is provided by Acquire Me. 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 - $350,000.00/yr

A tech-first hedge fund is looking for an exceptional Quantitative Software Engineer to join a high-impact, elite team working at the edge of algorithmic trading. Small in size but huge in success, this firm deploys systematic, data-driven strategies across global markets - including Equities, Futures, and FX.

You won’t just be building tools - you’ll be partnering directly with world-class Quant Researchers to turn ambitious, moon-shot ideas into real, profitable trades. From alpha discovery to signal research, your work will have an immediate and tangible impact.

What you’ll be doing:
  • Architecting and building custom research infrastructure for alpha estimation, risk modeling, and backtesting
  • Developing high-performance tools and platforms for data analytics and signal generation
  • Writing code that supports both live trading and simulation environments
  • Creating smart, scalable systems for data storage, integrity checks, and pipeline automation
  • Ensuring performance, reliability, and security of mission‑critical research infrastructure
What we’re looking for:
  • STEM degree from a top‑tier institution
  • 5+ years of hands‑on software engineering experience (Big Tech, hedge fund, prop shop, or start‑up background preferred)
  • Deep fluency in Python and/or C++
  • Serious problem‑solving chops and a product‑driven mindset
  • A sharp commercial instinct and hunger to work at the intersection of tech and finance

Apply or get in touch if this sounds like you.

Seniority level

Mid‑Senior level

Employment type

Full-time

Job function

Finance, Information Technology, and Research

Industries

Financial Services, Technology, Information and Media, and Information Services

Benefits
  • Medical insurance
  • 401(k)
  • Paid maternity leave
  • Paid paternity leave
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