Senior Treasury Quant Developer

We are partnering with a high-growth global fintech business transforming cross-border finance through a combination of traditional and next-generation payment technologies, including stablecoins. They are hiring a Senior Treasury Quant Developer to join the Treasury Engineering team — developing and integrating quantitative models that support FX pricing, treasury risk management, and liquidity forecasting across global fiat and stablecoin transactions.
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What You’ll Be Doing

• Develop and refine FX pricing models, volatility analytics, and risk management frameworks for treasury operations.
• Partner with Treasury, Finance, and Data teams to assess profitability, pricing sensitivity, and risk exposures.
• Ensure model outputs integrate seamlessly into the Treasury Management System (TMS).
• Conduct performance analysis on FX gains/losses and optimize hedging strategies when applicable.
• Monitor FX market dynamics and macro trends to support pricing decisions and treasury policies.
• Work with Treasury Systems Engineers to implement scalable, resilient, and audit-ready models.
• Use transaction and balance sheet data to detect anomalies, inefficiencies, or risk concentrations.
• Enhance infrastructure performance, scalability, and observability within the Treasury stack.

What We’re Looking For

• 6+ years professional experience, including 3+ years managing trading or treasury strategies end-to-end.
• Strong programming in Python, R, SQL, or C++.
• Solid experience in quantitative model development — FX pricing, trading, or treasury analytics.
• Deep understanding of FX markets, risk management, and financial data.
• Familiarity with large-scale data processing, statistical modeling, and optimization.
• Strong knowledge of relational and non-relational databases.
• Experience with APIs for market/pricing data integration.
• Proficient with version control (Git) and collaborative engineering workflows.

Preferred (Nice to Have)

• Knowledge of payments, cross-border disbursements, digital wallets, custody, or card programs.
• Experience with Treasury Management Systems.
• Exposure to AWS, GCP, or Azure.
• Familiarity with real-time systems and latency optimization.
• Background applying ML to financial models or transaction analysis.
• High-growth/startup experience with agile or DevOps practices.
• Experience with Docker, Kubernetes, or similar.

Work Culture & Mindset

• Self-starter with strong ownership and problem-solving mindset.
• Thrives in fast-moving, dynamic environments.
• Clear communicator and cross-team collaborator (Finance, Data, Engineering).
• Committed to building high-quality, scalable, and resilient software.

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