Analyst - Risk & Resilience
McKinsey & Companyover 1 year ago
New York, United States
On-site
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
This role is part of McKinsey’s global Risk & Resilience practice, where you’ll work within a dynamic data analytics team to help clients make better, analytically driven risk management decisions. You will be immersed in a culture that rewards resilience, continuous learning, and innovation—with ample mentorship and real opportunities for professional growth.
Key Responsibilities
- Construct statistical models and perform targeted quantitative analyses using techniques such as regressions, machine learning, and simulations.
- Develop and validate models for credit, stress-testing, cash-flow analysis, and hedging.
- Write and develop scripts (e.g., SAS scripts) to enhance risk management decision making.
- Collaborate on client projects as an integral member of engagement teams, contributing to internal knowledge initiatives and data integration efforts.
- Support the development of sustainable modelling and analytics platforms by applying advanced quantitative tools and techniques.
Required Qualifications
- Master’s degree in a quantitative field (e.g., mathematics, statistics, analytics, computational finance, computer science, economics, financial engineering, or physics).
- 1+ years of hands-on experience in quantitative modeling using advanced analytics tools (e.g., Python, R) to solve real-world problems.
- Demonstrated understanding of financial mathematics—including stochastic calculus, probability theory, and derivative pricing models—with experience using tools such as MATLAB, C++, R, or VBA.
- Experience programming in modern scientific languages (e.g., Python, Matlab, R) and familiarity with platforms like TensorFlow, Spark, Java, C#, or C++; knowledge of SQL and SAS is a plus.
- Understanding of risk methodologies such as VaR (historic, parametric, Monte Carlo), EOD or intra-day risk & valuation, as well as stress-testing and scenario analysis.
- Strong critical thinking skills with the ability to drive an analytics process from problem specification to solution.
- Effective teamwork and relationship-building skills across all organizational levels, with the ability to work under pressure and tight deadlines.
- Exceptional verbal and written communication skills, with the ability to translate technical details into accessible insights.
- Willingness to travel.
Benefits & Perks
- Competitive Salary based on your location, experience, and skills.
- Comprehensive benefits package including medical, dental, mental health, and vision coverage for you and your family.
- Continuous learning opportunities with structured programs, apprenticeship, and coaching.
- A diverse, global community that values your voice and innovative contributions.
Required Skills
SAS
Spark
R
Python
SQL
C++
TensorFlow
MATLAB