Quantitative Strategy Developer

Profusion; Sydney; On-site; AUD 150,000 - 230,000; Full time

Benefits offered by this job

Performance-based incentive

Flexible working arrangements

Professional development support

Job summary

Profusion in Sydney seeks a Quantitative Strategist / Developer for a front-office strats role focused on commodities. You will build pricing models, risk analytics and trading tools used daily by traders across energy, metals and environmental markets.

You will work closely with desk colleagues to implement curve/construction, volatility surfaces and Monte Carlo techniques with production-grade software practices.

Qualifications

• A degree in a quantitative discipline such as mathematics, physics, engineering, statistics or computational finance.
• Strong programming in Python and/or C++, with software engineering practices.
• Experience with derivatives pricing and risk, ideally in commodities.
• Knowledge of stochastic calculus and numerical methods.
• Ability to communicate with non-technical stakeholders in a trading environment.
• Exposure to commodity modelling such as forward curves or seasonality.

Responsibilities

• Develop and maintain pricing models, risk analytics and trading tools for commodity derivatives.
• Build and enhance curve construction, volatility surface and Greeks frameworks.
• Partner with traders, sales and risk to deliver production-grade solutions.
• Support P&L attribution, scenario analysis and model validation.
• Improve performance, scalability and reliability of the quant library and data pipelines.
• Contribute to automation and tooling reducing manual workflow.

Skills

Python

C++

Derivatives pricing

Risk analytics

Monte Carlo

Stochastic calculus

Software engineering

Front-office exposure

Education

Bachelor's degree in a quantitative discipline

Postgraduate qualifications well regarded

Tools

kdb+/q

Cloud platforms

Time-series data

Job description

Quantitative Strategist / Developer, Commodities

The opportunity

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