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Analytics

Analyst

Job ID: 90107
  • Gurugram
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Are you driven by the opportunity to tackle complex challenges and work alongside top leaders? Do you want to be part of a team that delivers outcomes that others simply can’t? If so, you’ve come to the right place.

Who You'll Work With

You’ll be based in our Gurugram office and will work with our Risk Dynamics team, part of our Global Risk practice.
Risk Dynamics helps clients to create a sustainable modelling and analytics platform to support their business 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 model lifecycle.
Our experience 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.

Your impact within our firm

You will help clients develop risk models for credit risk, market and trading risk, climate risk, financial crime and compliance, and wide applications such as cyber risk.  
You will work to provide independent perspectives on models, assess their frameworks for model development and model risk management across a variety of risk functions.
You will support and leverage an international network of experts in order to codify existing knowledge and even expand it. Considering our global client base, you will work across geographies and collaborate with and serve stakeholders from various regions and industries.
You will also communicate complex analytics concepts in a clear and concise manner to key client stakeholders.
Working with the Risk Dynamics team at McKinsey allows you the opportunity to research, problem solve and contribute to the knowledge base. You will get a chance to work with exceptional risk analytics professionals who bring deep industry experience. As you grow to more senior levels, your work will also begin to include new analytical approaches and techniques.

Your qualifications and skills

  • Bachelor's degree in a quantitative field such as economics, mathematics, computational finance, statistics, engineering or physics; master's degree is plus 
  • 1+ years of related experience industry qualifications including CFA, FRM, PRM or similar is a plus 
  • Experience in advanced quantitative modeling techniques within a financial services related industry (e.g., banking and securities, asset management)
  • Experience in predictive modeling techniques, benchmarking and/or model validation related to credit risk (PD, LGD, EAD) single and multifactor models and other modeling techniques (Merton, Longstaff-Schwartz, Black-Sholes, etc.) ideally within a regulatory context (CCAR)
  • Understanding of financial industry regulations and practices related to model development, capital requirements and model validation (SR11- 07) 
  • Experience programming in a modern scientific language (e.g., Python, Matlab, R) and some experience with Java, C#, C++, or C; knowledge of SQL, SAS, and VBA is a plus 
  • Experience in one of the following machine learning/AI areas: natural language processing, deep learning, anomaly detection, graph-based techniques 
  • Strong problem-solving and requirement gathering skills 
  • Ability to establish connections between sophisticated modeling techniques and strategic decision-making processes 
  • Ability to facilitate discussions and conduct training
  • Thoughtful and comfortable communicator in English (verbally and in writing) 
  • Willingness to travel
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Industries
  • Capital Projects & Infrastructure
  • High Tech
Capabilities
  • Operations
  • Risk & Resilience
  • Technology
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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action 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.

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 - KA - Knowledge Analyst
Function - Operations;Risk & Resilience;Technology
Industry - Capital Projects & Infrastructure;High Tech
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