Senior Treasury Quant Developer

About Reap

Reap is a global financial technology company headquartered in Hong Kong with employees across multiple countries. We enable financial connectivity and access for businesses worldwide by combining traditional finance with stablecoins for efficient money movement.

Through our stablecoin-powered corporate cards, payments, and expense management tools, we streamline financial operations and help businesses scale. Our APIs enable businesses to integrate stablecoin-enabled finance into their own products and services—from issuing Visa cards to facilitating cross-border payments.

Backed by leading investors including Index Ventures and HashKey Capital, Reap is building the future of borderless, stablecoin-enabled finance.

About The Team

The Treasury team builds and operates the core infrastructure that moves money across our platform. We’re responsible for handling incoming and outgoing flows—fiat and stablecoins, internal transfers, withdrawals, and payouts. Our systems need to be reliable, observable, and audit-ready by default. We work closely with teams across the company to design systems that meet real-world operational, regulatory, and business needs.

What you’ll do

We are seeking a skilled Treasury Quant Developer to join our team at Reap under the Treasury team. This role focuses on building and optimizing quantitative models for treasury management, particularly in foreign exchange (FX) pricing and risk management. You will work closely with the Treasury/Finance/Data teams and the systems engineers responsible for the Treasury Management System (TMS) development and maintenance.

Key Responsibilities

• Collaborate with the treasury team to design and implement FX pricing/risk models for integration into the Treasury system.
• Model and quantify the impact of FX fluctuations on Reap’s profitability and competitiveness.
• Maintain strong market knowledge of FX dynamics to inform modeling and risk assessment.
• Own analysis and reporting of FX-related gains and losses in partnership with the Finance and Treasury teams.
• Build systems and conduct network analysis to enhance treasury operational effectiveness.
• Coordinate closely with the Treasury Systems Engineer to implement and integrate quantitative models within the TMS infrastructure.
• Support continuous improvement of the treasury system’s accuracy, efficiency, and data connectivity related to the quantitative models.
• Analyze transaction data to identify patterns, anomalies, and FX risks related to internal fund transfers and various treasury services.
  

Culture And Work Approach

• Demonstrate strong ownership and accountability, taking initiative to drive projects and resolve challenges independently.
• Thrive in a fast-paced, dynamic environment by being flexible and agile, quickly adapting to changing priorities and business needs.
• Embody a collaborative mindset and be a strong culture fit, working effectively across teams and fostering positive communication.
  
  

Requirements

• Bachelor’s degree or above in a quantitative field such as Computer Science, Physics, Statistics, or Financial Engineering
• At least 6 years of experience, with a minimum of 3 years running trading strategies end to end
• Background in high-frequency trading, preferably in market-making or latency-sensitive environments
• Strong data analysis skills.
  
  

Preferred Qualifications

• Domain knowledge: Experience in financial domains—such as payments, disbursements, custody, or cards—is a strong plus, but not required.
• Technical proficiency: You design systems that are stateless by default, built for scale, and resilient to failure. You’re comfortable with async workflows, distributed services, and cloud infrastructure.
• AI fluency: You embrace using AI tools to accelerate development and explore ideas, but you apply them with discernment, not as a replacement. You know when to trust outputs and when to go deeper.
• Full-stack experience: Experience across the stack (backend, frontend, infrastructure, data) is a bonus.
• High-growth environments: Experience working in high-growth teams is a bonus.
  
  

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