Senior Analyst - Risk & Resilience

Overview

Senior Analyst - Risk & Resilience — Job

You will work to construct statistical models and complete targeted quantitative analyses across different techniques (e.g., regressions, machine learning, simulations) that allow companies to make better analytically based decisions across the spectrum of risk management.

Your responsibilities will include developing and validating models including credit (e.g., underwriting, portfolio management), stress testing, cash-flow modeling, and hedging. You'll work on client projects as an integral part of engagement teams, and you will contribute to internal knowledge development initiatives. You will disaggregate and structure complex, often ambiguous, business problems and evaluate different analytical approaches to develop potential solutions. You will apply advanced analytical and quantitative tools, statistical modeling techniques and data mining procedures to derive business insights and solve complex business problems.

Further, you will develop components of statistical models, writing and developing scripts (e.g., SAS scripts) to improve risk management decision making (e.g., underwriting models). You will contribute to team problem solving through the findings and insights from your analysis and help facilitate data integration and management between clients and McKinsey. Ultimately, you will contribute to the development of knowledge for the analytics group at large.

You'll work at client offices, our Boston or New York City office focusing on risk analytics as a member of our data analytics team, part of McKinsey's global Risk & Resilience practice.

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

• 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) to solve real world problems
• Demonstrated understanding of financial mathematics including stochastic calculus and probability theory, as well as derivative pricing models and other numerical techniques across a variety of asset classes (e.g., equities, rates, credit, FX and commodities) with practical experience in using MATLAB/C++/R/VBA
• Experience programming (beyond simple scripts) in a modern scientific language (e.g., Python, Matlab, R) and experience with Tensor Flow, Spark, Java, C#, C++, or C; knowledge of SQL and SAS is a plus
• Knowledge of VaR (historic, parametric, Monte Carlo), EOD or intra-day risk & valuation, as well as stress-testing and scenario analysis 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 in your area of expertise
• Ability to work collaboratively in a team environment and effectively with people at all levels in an…