Quant Developer - Systematic Commodities Hedge Fund

Moreton Capital Partners

صاحب عمل نشط

نشرت قبل 5 ساعات

الخبرة

3 - 6 سنوات

موقع العمل

Abu Dhabi, Dubai - United Arab Emirates

التعليم

بكالوريوس في العلوم(أجهزة الكمبيوتر)

الجنسية

أي جنسية

جنس

غير مذكور

عدد الشواغر

1 عدد الشواغر

الوصف الوظيفي

الأدوار والمسؤوليات

Description
Quant Developer – Systematic Commodities Hedge Fund
Moreton Capital Partners is 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 global team, 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.
Productionize 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.
Bachelors in CS/Comp-Eng or computationally heavy subject matter, and ideally, a minor in Finance.

Bonus points for:

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.
Benefits
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.
Positive, inclusive and encouraging work environment.

الملف الشخصي المطلوب للمرشحين

  • 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.
  • Bachelors in CS/Comp-Eng or computationally heavy subject matter, and ideally, a minor in Finance.

Bonus points for:

  • 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.
  • Positive, inclusive and encouraging work environment.

القطاع المهني للشركة

المجال الوظيفي / القسم

الكلمات الرئيسية

  • Quant Developer - Systematic Commodities Hedge Fund

تنويه: نوكري غلف هو مجرد منصة لجمع الباحثين عن عمل وأصحاب العمل معا. وينصح المتقدمون بالبحث في حسن نية صاحب العمل المحتمل بشكل مستقل. نحن لا نؤيد أي طلبات لدفع الأموال وننصح بشدة ضد تبادل المعلومات الشخصية أو المصرفية ذات الصلة. نوصي أيضا زيارة نصائح أمنية للمزيد من المعلومات. إذا كنت تشك في أي احتيال أو سوء تصرف ، راسلنا عبر البريد الإلكتروني abuse@naukrigulf.com

Moreton Capital Partners

https://apply.workable.com/moreton-capital-partners/j/AF54B9C555/