Analyst - Risk & Resilience

McKinsey & Company; Boston (MA); On-site; USD 112,000; Full time

Job summary

Join a forward-thinking company as an Analyst in Risk & Resilience, where you'll tackle complex challenges and contribute to impactful solutions. You'll work with a diverse team, using advanced analytics to guide clients in risk management and decision-making. This role offers the opportunity to develop your skills in statistical modeling and quantitative analysis while collaborating with leaders in the field. If you are passionate about data-driven insights and eager to make a difference, this is the perfect opportunity to grow your career in a dynamic environment.

Benefits

Medical coverage

Dental and vision coverage

Mental health services

Telemedicine services

Life insurance

Disability insurance

Parental leave

Generous retirement contributions

Paid time off

Financial guidance

Qualifications

• Master's degree in a quantitative field required.
• 1+ years of experience in quantitative modeling with advanced analytics tools.

Responsibilities

• Construct statistical models and perform quantitative analyses for risk management.
• Develop and validate models for credit, stress-testing, and cash-flow.

Skills

Quantitative modeling

Python

R

Statistical modeling

Financial mathematics

Critical thinking

Communication skills

Team collaboration

Adaptability

Problem-solving

Education

Master's degree in quantitative field

Tools

SAS

MATLAB

C++

Java

TensorFlow

Spark

Job description

Consulting
Analyst - Risk & Resilience
Job ID: 94186

Do you want to work on complex and pressing challenges-the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you've come to the right place.

Your Impact

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'll 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.

Your Growth

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.

Our global Risk & Resilience practice helps clients understand, prepare for, and manage risks to ensure institutional resilience in an ever-changing world. Our team is a global leader in risk analytics and model governance, working with banks, asset managers, insurance firms, and other leading infrastructure players around the world.

We help our clients create sustainable modelling and analytics platforms to support their businesses in a data-driven world. From core regulatory capital and risk models to business decision analytics and model risk management, we create value by improving performance across the model lifecycle. Our model development, model validation and model risk advisory work spans multiple risk functions, markets, operating challenges and modeling techniques. When delivering a project, we strive to advance our client's understanding of both well-established and emerging risk management techniques.

Our experienced team incorporates risk specialists, quantitative experts and business professionals empowering us to offer our clients a unique variety of skills in risk management, business, and regulatory compliance. While we tailor every service to suit each client's need, our identity is unwavering with bedrock values including excellence, teamwork, integrity and innovation. Our work requires rigorous understanding of underlying modeling techniques as well as of the business context in which those models are being used. We are therefore looking for candidates who can establish connections between sophisticated modeling techniques and strategic decision-making processes.

Your qualifications and skills

• Master's degree in a quantitative field such as mathematics, statistics, analytics, computational finance, computer science, economics, financial engineering, physics, or other relevant field
• 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 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 TensorFlow, Spark, Java, C#, C++, or C; knowledge of SQL and SAS is a plus
• Knowledge of VaR (historic, parametric, MonteCarlo), EOD or intra-day risk & valuation, as well as stress-testing and scenario analysis is a plus
• Critical thinker 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 organization; can build constructive relationships both with colleagues and clients
• Adaptable to rapidly changing timelines and objectives; able to work under pressure with tight deadlines while maintaining quality of outputs
• Exceptional verbal and written communication skills, especially around translating technical knowledge into accessible forms for non-technical project teams, leadership, and clients
• Willingness to travel

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $112,000 - $112,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
[salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.

Job Skill Group - CSS Pre-Associate

Job Skill Code - AF - Analytics Fellow

Function - Risk & Resilience

Industry - Financial Services

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