Our client, a leading financial institution, is seeking a highly skilled and motivated Senior Quantitative Analyst to join their fully remote team. This role will be instrumental in developing, implementing, and validating complex financial models used for risk management, pricing, and portfolio optimization. The successful candidate will leverage advanced statistical and mathematical techniques to analyze large datasets, identify market trends, and provide actionable insights to trading and investment teams. You will collaborate closely with portfolio managers, traders, and risk officers to understand their needs and translate them into quantitative solutions. Key responsibilities include building and maintaining sophisticated models for derivatives pricing, credit risk, market risk, and economic capital. This position requires a deep understanding of financial markets, instruments, and regulatory frameworks. You will also be responsible for back-testing model performance, performing sensitivity analysis, and contributing to the ongoing improvement of existing models. Data mining, statistical modeling, and programming are central to this role. The ability to clearly communicate complex quantitative concepts to non-technical stakeholders is essential. You will be expected to stay abreast of the latest research and methodologies in quantitative finance and contribute to the intellectual capital of the team. This is a remote-first position, offering flexibility and the opportunity to work with a globally distributed team. Strong problem-solving skills and a rigorous, analytical approach are crucial. We are looking for individuals who are passionate about finance and possess a strong desire to innovate and drive business results through quantitative expertise. This role offers significant growth potential within a dynamic and challenging environment.
Key Responsibilities: Develop, implement, and validate quantitative models for pricing, risk management, and hedging. Conduct in-depth statistical analysis of financial market data. Build and maintain databases for financial instruments and economic indicators. Perform back-testing and sensitivity analysis of financial models. Collaborate with front-office and risk management teams to define modeling requirements. Communicate complex quantitative findings to both technical and non-technical audiences. Research and apply cutting-edge quantitative techniques and methodologies. Contribute to the development of new financial products and strategies. Ensure compliance with regulatory requirements and internal policies. Mentor junior quantitative analysts and contribute to team development. Required Qualifications: Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Proven experience (5+ years) in quantitative finance or a related analytical role. Strong proficiency in programming languages such as Python, R, C++, or Java. Expertise in statistical modeling, econometrics, and machine learning techniques. In-depth knowledge of financial markets, derivatives, and fixed income securities. Experience with large-scale data analysis and database management. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and interpersonal skills, with the ability to work effectively in a remote team environment.
FULL TIME
senior
4/7/2026
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