Quantitative Engineer: AI-Driven Pricing & Risk (Hybrid)

Challenger; Sydney; Hybrid; AUD 140,000 - 200,000; Full time

Benefits offered by this job

Discretionary bonus scheme

18 weeks paid leave for new parents

Flexible parental leave

Challenger Day – extra day off

Additional support leave

Extra superannuation contributions

Employee share plan

Job summary

Challenger Limited is seeking a Quantitative Engineer in Sydney to join a fast-moving team at the intersection of software engineering, quantitative modelling and financial markets. You will develop pricing, valuation and risk functionality using C#/.NET and translate complex financial concepts into robust production software.

The role emphasizes ownership, collaboration with analysts, and modern engineering practices with a focus on AI-assisted development tools.

Qualifications

• Degree in Computer Science, Mathematics, Engineering, Actuarial Studies, Physics or another quantitative discipline.
• 5+ years of professional software development experience.
• Ownership mentality with a track record of delivering production systems.
• Understanding of financial markets, particularly fixed income, rates and/or derivatives.
• Exposure to pricing, valuation, risk, modelling or quantitative systems.
• Experience with AI-assisted development tools and modern software practices.

Responsibilities

• Collaborate with analysts, actuaries and developers to design and enhance investment, pricing and risk systems.
• Develop and maintain quantitative pricing, valuation and risk functionality using C#/.NET.
• Implement models and business logic across fixed income, rates, FX, derivatives, annuities and reinsurance.
• Translate spreadsheet-based and prototype models into robust production code.
• Build and maintain core quantitative libraries, market data components and valuation infrastructure.
• Develop tools to support actuarial modelling, ALM strategies, risk analytics and investment decisions.
• Investigate and resolve issues in production calculations and modelling systems.
• Contribute to testing, model validation, peer reviews and engineering practices.
• Explore AI-assisted development and automation to improve productivity and model quality.

Skills

C#/.NET development

Production software systems

Analytical problem solving

AI-assisted development tools

REST APIs and service-based

Education

Degree in Computer Science, Mathematics, Engineering, Actuarial Studies, Physics or another quantitative discipline

Tools

Git

Azure DevOps

Snowflake

Job description

Challenger Limited is seeking a Quantitative Engineer in Sydney to join a fast-moving team at the intersection of software engineering, quantitative modelling and financial markets. You will develop pricing, valuation and risk functionality using C#/.NET and translate complex financial concepts into robust production software.

The role emphasizes ownership, collaboration with analysts, and modern engineering practices with a focus on AI-assisted development tools.