At a Glance
- Tasks: Develop pricing models and trading tools for commodities, working closely with traders.
- Company: Major institutional bank with a leading commodities division.
- Benefits: Competitive salary, performance incentives, flexible work, and professional development support.
- Other info: Collaborative team with clear career progression and exposure to trading.
- Why this job: Make a real impact in a high-energy environment while building innovative solutions.
- Qualifications: Degree in a quantitative field and strong programming skills in Python or C++.
The predicted salary is between 135000 - 165000 $ per year.
Join a front-office strats team supporting a leading commodities division at a major institutional bank. You’ll sit alongside traders and structurers, building the pricing, risk and analytics tools that drive decisions across energy, metals and environmental markets. This is a high-impact seat where your code goes into production and gets used by the desk daily.
What you’ll do:
- Develop and maintain pricing models, risk analytics and trading tools for commodity derivatives, including swaps, options and structured products.
- Build and enhance curve construction, volatility surface and Greeks frameworks.
- Partner directly with traders, sales and risk to turn market needs into robust, production-grade solutions.
- Support P&L attribution, scenario analysis and model validation.
- Improve the performance, scalability and reliability of the desk’s quant library and data pipelines.
- Contribute to automation and tooling that reduces manual workflow across the business.
What you’ll bring:
- A degree in a quantitative discipline such as mathematics, physics, engineering, statistics or computational finance (postgraduate qualifications are well regarded).
- Strong programming skills in Python and/or C++, with solid software engineering practices (testing, version control, code review).
- Practical experience with derivatives pricing and risk, ideally in commodities (power, gas, oil or metals).
- Sound grasp of stochastic calculus, numerical methods and Monte Carlo techniques.
- Ability to communicate clearly with non-technical stakeholders and work under the pace of a trading environment.
- Curiosity about how commodity markets behave, and a sense of ownership over what you build.
- Experience with commodity-specific modelling such as forward curves, seasonality, spread options or storage and swing valuation.
- Exposure to cloud platforms, kdb+/q, or large-scale time-series data.
- Prior experience in a front-office strats or desk-quant role.
- Genuine front-office exposure and close proximity to the trading desk.
- A collaborative, technically strong team that values good engineering.
- Competitive base plus performance-linked incentive.
- Clear career progression within a global markets business.
- Flexible working arrangements and support for ongoing professional development.
Quantitative Strategy Developer in Sydney employer: Profusion
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