Senior Quantitative Analyst

About

Our client, a leading global investment bank, is seeking a highly skilled and experienced Remote Senior Quantitative Analyst to join their prestigious Banking & Finance division. This is a fully remote position, offering the opportunity to contribute to sophisticated financial modeling and quantitative analysis from anywhere. The ideal candidate will possess a deep understanding of financial markets, advanced statistical modeling techniques, and proficiency in programming languages commonly used in quantitative finance. You will play a critical role in developing and implementing complex models to support trading strategies, risk management, and product development.

Key Responsibilities

• Develop, implement, and maintain sophisticated quantitative models for pricing, risk management, and trading strategies.
• Conduct rigorous statistical analysis and back‑testing of models to ensure accuracy and performance.
• Collaborate with business units to identify quantitative challenges and develop tailored solutions.
• Contribute to the research and development of new financial products and strategies.
• Automate model execution and reporting processes using programming languages like Python, R, or C++.
• Perform ad‑hoc quantitative analysis and provide insights to support decision‑making.
• Document model methodologies, assumptions, and limitations thoroughly.
• Stay updated on the latest advancements in quantitative finance, machine learning, and data science.
• Present research findings and model results to stakeholders across the organization.
• Ensure compliance with regulatory requirements and firm policies related to model development and usage.

Qualifications

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 5 years of relevant experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
• Proficiency in programming languages such as Python, R, C++, or Java, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas).
• Strong understanding of stochastic calculus, time series analysis, and statistical modeling techniques.
• Experience with derivative pricing, risk modeling (e.g., VaR, Expected Shortfall), and portfolio optimization.
• Excellent analytical, problem‑solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex quantitative concepts clearly.
• Ability to work independently and manage multiple projects effectively in a remote setting.
• Familiarity with machine learning techniques is a plus.
• Must be legally authorized to work remotely in the designated country and have a dedicated, professional home office environment with reliable high‑speed internet.