This role involves constructing statistical models and performing quantitative analyses to help companies make informed decisions in risk management. You will work on client projects, develop and validate models, and contribute to internal knowledge initiatives within a global team focused on risk analytics.

• Master’s degree in quantitative fields such as mathematics, statistics, analytics, computational finance, computer science, economics, financial engineering, physics, or another relevant field
• 2+ years of hands-on experience in quantitative modeling using advanced analytics tools (e.g. Python, R)
• Demonstrated understanding of financial mathematics including stochastic calculus and probability theory
• Experience programming in a modern scientific language (e.g., Python, Matlab, R) and knowledge of SQL and SAS is a plus
• Critical thinkers who can develop an opinion and support it with persuasive arguments based on available evidence
• Ability to execute an analytics process from problem specification through to solution
• Ability to work collaboratively in a team environment
• Exceptional verbal and written communication skills
• Willingness to travel

• Develop and validate models including credit, stress testing, cash-flow modeling, and hedging
• Disaggregate and structure complex business problems and evaluate different analytical approaches
• Apply advanced analytical and quantitative tools to derive business insights
• Develop components of statistical models and write scripts to improve risk management decision making
• Contribute to team problem solving through findings and insights from analysis
• Facilitate data integration and management between clients and McKinsey

• Employees at McKinsey are often offered a comprehensive benefits package, including medical, dental, and vision coverage, prescription benefits, mental-health resources, expert medical opinions, and travel emergency protection. Financial benefits typically include retirement contributions and savings plans, life/accident/disability insurance, tax-advantaged accounts, and financial coaching. Many roles also feature generous paid time off (including volunteering days), flexible/hybrid work options, family care support (parental leave, fertility/adoption/surrogacy assistance, backup care), tuition reimbursement, transportation benefits, discounts, and matching gifts.