Data Scientist

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 a seamless, low-cost, and efficient financial ecosystem that empowers individuals and businesses to send, receive, and spend money internationally with ease. We focus on minimizing fees while maximizing convenience, speed, and transparency, making cross-border transactions simpler and more accessible for everyone, everywhere. As a forward-thinking organization, Wise leverages innovative technology to build a new network for the world's money, fostering financial inclusion and breaking down borders that hinder economic growth. Our diverse and inclusive team works tirelessly to develop solutions that challenge traditional banking paradigms and deliver exceptional value to our customers worldwide. 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 operating the production infrastructure that powers our foreign exchange (FX) pricing, risk management, and trading systems. Your work will involve developing and maintaining robust Python microservices that support real-time data processing, pricing models, and risk calculations. You will have the opportunity to expand your scope into traditional quantitative finance areas, including curve construction, pricing of new financial instruments, and trading strategy development. Your contributions will directly impact Wise’s mission by enhancing our system reliability, improving pricing accuracy, and enabling smarter decision-making across our financial operations. Collaboration with cross-functional teams—including product managers, traders, analysts, and engineers—will be a key aspect of your role, as you translate complex quantitative insights into practical, customer-facing solutions. Qualifications * 4+ years of experience building and maintaining production Python systems * Strong expertise in microservices architecture, databases, and production infrastructure * Experience with streaming systems, real-time data pipelines, or event-driven architectures such as Kafka, Flink, Redis, etc. * Solid quantitative background in mathematics, physics, engineering, or finance * Ability to read and reason about models to assess correctness and robustness * Experience with testing, monitoring, and debugging complex, high-load systems * Product mindset focused on user needs and system usability * Excellent communication skills, capable of working cross-functionally with quants, analysts, traders, product managers, and engineers Responsibilities * Develop and maintain Python microservices that run quantitative models in production environments * Monitor system performance, set up alerting mechanisms, and ensure high reliability of real-time pricing and risk management systems * Contribute to shared quantitative libraries used across multiple services and teams * Design, implement, and improve CI/CD pipelines to streamline deployment processes and operational excellence * Respond to production incidents, conduct root cause analysis, and implement corrective actions * Engage in the development of real-time financial models such as yield curves, FX forwards, and volatility surfaces * Innovate in pricing models for new financial instruments and products * Assist in developing and optimizing trading strategies and risk models, including VaR, stress testing, and scenario analysis * Build backtesting frameworks and validate models for accuracy and robustness * Support customer behavior modeling, pricing strategies, and product launches * Collaborate with product teams to translate quantitative insights into customer-facing features and decisions Benefits * Competitive salary and performance-based bonuses * Flexible working hours and remote work options * Comprehensive health and wellness benefits * Opportunities for professional development and continuous learning * Inclusive and diverse work environment that values innovation and collaboration * Access to cutting-edge technology and tools * Global team with a focus on work-life balance and personal growth Equal Opportunity Wise is committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness. We celebrate diversity and believe that diverse teams build better products and drive innovation. We welcome applications from individuals of all backgrounds, regardless of race, gender, ethnicity, sexual orientation, disability, or any other characteristic protected by law. Our goal is to create a workplace where everyone feels valued, empowered, and able to contribute to our shared mission of building a borderless financial ecosystem.