Macro Quant Developer

Jain Global

$120K — $180K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in front-office or risk-aligned software development, ideally in trading/investment.
  • Expert-level Python proficiency for clean, production-quality code.
  • Experience in building systems for front-office teams across asset classes (equities, derivatives, macro).
  • Strong financial markets understanding, with multi-asset familiarity a plus.
  • Ability to independently manage priorities in a fast-paced trading desk environment.
  • Excellent communication skills for effective interface with PMs and traders.
  • Familiarity with data engineering, APIs, and distributed systems.

Responsibilities

  • Design and implement real-time trading tools and risk dashboards in collaboration with PMs and Traders.
  • Develop scalable applications supporting front-office and risk workflows across asset classes.
  • Build robust systems end-to-end, from architecture to deployment, serving as a hands-on contributor.
  • Ensure the reliability and performance of critical systems, focusing on data integrity.
  • Collaborate with infrastructure teams to align with best practices and leverage core services.
  • Deliver high-quality solutions quickly while ensuring maintainability and scalability.
  • Promote modern software engineering practices such as CI/CD and observability.

Benefits

  • Collaborative environment engaging directly with Portfolio Managers and Traders.
  • Opportunity to impact business outcomes through high-performance tools.
  • Exposure to diverse asset classes and trading strategies.
  • Hands-on role with significant project ownership from start to finish.
  • Focus on modern software practices and innovative technology solutions.
Full Job Description
Job Description:

Macro Quant Developer

Jain Global, LLC

Role Overview

We are looking for a Developer to join our New York City team, working directly with Portfolio Managers, Traders, and Quants across a front-office trading environment. This role is ideal for a Python expert who thrives in a fast-paced, trading-aligned setting and can deliver high-performance tools and infrastructure that directly impact business outcomes. You'll operate at the intersection of trading, quantitative research, and platform engineering, building systems that power execution, risk, and analytics across a range of investment strategies.

Responsibilities:
  • Partner with PMs, Traders, and Desk Analysts to design and implement real-time trading tools, risk dashboards, and data pipelines.
  • Develop and maintain scalable applications and services that support front-office and risk-aligned workflows across multiple asset classes.
  • Serve as a hands-on "carpenter," building robust systems from the ground up-owning projects end-to-end, from architecture to deployment.
  • Ensure system reliability, latency performance, and data integrity across mission-critical components.
  • Collaborate with platform and infrastructure teams to leverage core services and align with best practices.
  • Support the desk with fast, high-quality delivery while maintaining long-term maintainability and scalability.
  • Promote modern software engineering practices across testing, CI/CD, and observability.

Qualifications & Experience:
  • 5+ years of experience in front-office or risk-aligned software development roles, preferably within a trading or investment environment.
  • Expert-level proficiency in Python-capable of writing clean, performant, production-quality code.
  • Experience building systems for front-office or risk-aligned teams; exposure to equities, derivatives, macro, or cross-asset workflows is a plus.
  • Strong understanding of financial markets; multi-asset familiarity is advantageous.
  • Proven ability to work independently within a trading desk, managing priorities in a dynamic environment.
  • Excellent communication skills-able to interface effectively with PMs, traders, researchers, and business leads.
  • Familiarity with data engineering concepts, APIs, and distributed systems.
  • Passion for building technology that delivers measurable business value.
  • Familiarity with enterprise data platforms and cloud-native tools.
  • Proven ability to deliver both tactical and strategic solutions under evolving business needs.
  • Strong communication and documentation skills; able to translate business problems into scalable technical solutions.

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