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About The Company
Wise is a pioneering global technology company dedicated to transforming the way the world moves and manages money. Our mission is to create the most efficient, cost-effective, and user-friendly financial services platform that minimizes fees and maximizes ease of use for individuals and businesses alike. Whether customers are sending money internationally, making payments abroad, or managing cross-border transactions, Wise aims to simplify these processes and provide significant savings. We are committed to building an innovative network that facilitates seamless international financial interactions for everyone, everywhere. Our diverse and inclusive team operates with a shared vision of breaking down borders and fostering financial equality across the globe.
About The Role
We are seeking a talented and experienced quantitative developer to join our Treasury Markets Data Science team. In this role, you will be responsible for owning and maintaining the production infrastructure that underpins our foreign exchange (FX) pricing, risk management, and trading systems. The position offers an exciting opportunity to expand your expertise into traditional quantitative finance domains, including model development, risk analysis, and trading strategies. Your work will directly influence Wise’s mission and impact millions of customers by ensuring the robustness, accuracy, and efficiency of our financial systems. You will collaborate closely with cross-functional teams, including traders, analysts, product managers, and engineers, to translate complex quantitative insights into practical, customer-facing solutions. This role requires a strong technical foundation, a product-oriented mindset, and a passion for financial markets and data-driven decision-making.
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Qualifications
- 4+ years of experience building and maintaining production Python systems
- Strong expertise in microservices architecture, databases, and production infrastructure management
- Experience with streaming systems, real-time data pipelines, or event-driven architectures such as Kafka, Flink, Redis, etc.
- Quantitative background in mathematics, physics, engineering, or finance
- Ability to interpret models and reason about their correctness and robustness
- Experience with testing, monitoring, and debugging complex systems under load
- Understanding of CI/CD pipelines, deployment processes, and operational excellence
- Excellent communication skills for cross-functional collaboration
- Demonstrated ability to work independently and as part of a team in a fast-paced environment
Nice-to-have skills include:
- FX or financial markets experience
- Knowledge of term structure modeling, stochastic calculus, Monte Carlo methods, interest rate curve bootstrapping, algorithmic execution
- Experience with data lakes or warehouses such as Snowflake, Iceberg, or Spark
Responsibilities
- Develop and maintain Python microservices that run quantitative models in production environments
- Monitor, alert, and ensure the reliability and uptime of real-time pricing and risk systems
- Contribute to shared quant libraries used across multiple services and teams
- Design, implement, and improve CI/CD pipelines for seamless deployment and operational excellence
- Respond to incidents, perform root cause analysis, and implement corrective actions to prevent recurrence
- Assist in the development of real-time financial instruments such as yield curves, FX forwards, and volatility surfaces
- Build and validate pricing models for new financial products and instruments
- Collaborate with trading and risk teams to develop and optimize trading strategies and risk models (VaR, stress testing, scenario analysis)
- Design backtesting frameworks and conduct model validation to ensure accuracy and robustness
- Support customer behavior modeling, pricing strategies, and product launches
- Work closely with product teams to translate quantitative insights into actionable business decisions
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Benefits
- Competitive salary and performance-based bonuses
- Comprehensive health, dental, and vision insurance plans
- Flexible working hours and remote work options
- Opportunities for professional development and continuous learning
- Inclusive and diverse work environment that values different perspectives
- Collaborative culture fostering innovation and growth
- Generous paid time off and holiday leave
- Wellness programs and employee assistance initiatives
Equal Opportunity
Wise is an equal opportunity employer that values diversity and inclusion. We are committed to creating a workplace where all employees feel respected, empowered, and able to contribute fully regardless of race, gender, age, sexual orientation, disability, or background. We believe diverse teams build better products and foster innovation. We encourage applications from underrepresented demographics and those passionate about making a difference in the world of finance and technology. If you are eager to learn, grow, and be part of a mission-driven organization, we would love to hear from you.
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