Principal Data Scientist - Risk Management
QUALIFICATIONSMaster's degree or PhD in computer science, mathematics/statistics, engineering, physics or other quantitative disciplines 6+ years of work experience in quantitative analysis/modeling at a financial institution or consulting firmStrong experience in working in quantitative teams focused on financial or non-financial risk, with a high degree of independence and responsibilityProven experience in applying machine learning algorithms such as Neural Networks, Support Vector Machines, and CART, etc.Deep experience with analytical software (e.g. R) and solid working knowledge of scripting languages (e.g., Python). Experience with databases (SQL or NoSQL) would be beneficial Excellent communication skills to explain complex ideas in simple termsTeam player, with a professional and service-oriented attitude Ability to work effectively and collaboratively with people at all levelsWHO YOU'LL WORK WITHYouâ€™ll be working within the Risk Management Practice, which supports clients in many different industries facing challenges of developing and implementing tailored concepts for risk identification, measurement, and control in our London office. Youâ€™ll be a part of the Risk Advanced Analytics (RAA) group that is tasked with developing analytical tools in all fields of risk (strategic risk management, credit, operational/fraud, and market risk).WHAT YOU'LL DOYou will be at the center of the Risk Analytics groupâ€™s analytical engine, implementing machine-learning techniques for our client projects in the area of risk management.Building upon your ideas and experience, you will apply machine learning algorithms to risk modeling to gain new insights and translate them into distinct client contributions. You will be fully integrated into client service teams. This includes gathering and analyzing information, formulating and testing hypotheses, and developing and communicating recommendations. You will also have the opportunity to present results to client management and implement recommendations in collaboration with client team members.You will use a broad range of internal and external sources in your work, including your access to an outstanding knowledge structure and international network of experts. You will contribute to knowledge development by helping define and expand distinctive risk-based methodologies to support top management-level strategic decisions.