Quantitative Developer

AAA Global; United States; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Attractive compensation

Hybrid work model

Positive work environment

Job summary

A dynamic finance firm is seeking a talented Quant Developer to join their team, contributing to live trading across global commodity futures. The role involves building data pipelines, improving frameworks, and collaborating closely with senior researchers. Candidates should have fluency in Python and SQL, as well as relevant experience in data engineering. This position offers a hybrid working environment, competitive salary, and significant growth opportunities.

Qualifications

• Experience with backtesting and market data pipelines.
• Self-starter with autonomy in a high-ownership environment.
• Exposure to commodities or macro markets.

Responsibilities

• Build and maintain data pipelines for trading.
• Improve backtesting framework and support research tooling.
• Productionise signals into the live trading stack.

Skills

Fluency in Python

Fluency in SQL

Data engineering (Airflow, Snowflake)

Experience with ML Ops tools (MLflow, Weights & Biases)

Front-end skills (TypeScript/React)

Education

Bachelor's in CS/Comp‑Eng or related

Tools

Docker

AWS

Job description

Consultant - Quant + Software Engineering

Quant Developer – Systematic Commodities Hedge Fund

Seeking a talented Quant Developer to join our team at the ground floor of an ambitious build. We are launching live trading across global commodity futures, supported by an investment process rooted in machine learning.

This is a unique opportunity to work directly with the CIO and Head of Quant Research, owning infrastructure that takes research ideas to production in a fast‑moving, real capital environment.

Key Responsibilities

• Build and maintain data pipelines ingesting futures, options, and alternative datasets (from price data from Bloomberg and vendor feeds to unstructured data).
• Improve backtesting framework (event‑driven simulations, realistic slippage/costs, walk‑forward validation, portfolio performance analysis).
• Support research tooling: feature libraries, experiment tracking, artefact storage.
• Machine learning cloud and local execution and optimization setup.
• Productionise signals into the live trading stack with CI/CD, monitoring, and version control.
• Develop dashboards and alerting for data quality, latency, and model drift.
• Collaborate with researchers to translate hypotheses into robust, testable experiments, as well as enhance proposed process computationally.

Requirements

• Fluency in Python and SQL; clean, testable code is a must.
• Experience with data engineering (Airflow, Snowflake, pandas, polars workflows).
• Prior exposure to systematic trading, backtesting, or market data pipelines.
• Familiarity with cloud environments (AWS), containers (Docker), and CI/CD.
• Self‑starter with the ability to work autonomously in a lean, high‑ownership environment.
• Bachelor's in CS/Comp‑Eng or computationally heavy subject matter, and ideally, a minor in Finance.
• Commodities or macro markets exposure.
• Systematic medium‑term investment exposure.
• Experience with ML Ops tools (MLflow, Weights & Biases), feature stores, or model monitoring.
• Front‑end skills (TypeScript/React) to help build researcher dashboards.
• Impact from day one: You’ll be building mission‑critical infrastructure for a fund that begins live trading this year for large institutional investors.
• Direct exposure: Work alongside the CIO and senior researchers, with a direct line to decision‑making.
• Learning curve: Deep exposure to commodity markets, ML research workflows, and institutional‑grade trading systems.
• Growth trajectory: Clear path to increased scope and compensation as the fund scales with institutional AUM.
• Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.
• Hybrid role: Work from home and a co‑work space office can be provided.
• Positive, inclusive and encouraging work environment.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Finance

Referrals increase your chances of interviewing at AAA Global by 2x

Get notified about new Quantitative Developer jobs in United States.