Risk Quant - Financial Services - Quant Banking Book - Manager - Consulting
EY
- New York City, NY
- Permanent
- Full-time
- Perform in-depth technical analytics, for example in the space of regression analysis or machine learning, to help solve our clients' complex business issues
- Communicate and interpret deep technical concepts to both technical and non-technical client stakeholders
- Maintain an ambitious attitude toward finding innovative solutions to challenging problems
- Have functional knowledge related to some of the following: broad credit risk modeling, wholesale modeling (e.g., CRE and C&I), retail modeling (e.g., mortgage and credit card, other consumer loans), applicability of models in the context of CCAR/CECL/IFRS 9, risk management, sustainable finance/climate change, fair lending/consumer compliance, artificial intelligence/machine learning applications, model development, model validation, financial analytics, advanced analytics (e.g., machine learning techniques)
- Bring functional experience in credit risk modeling and associated methodologies and their role in the overall risk management framework; demonstrate knowledge of the risk management function and the model lifecycle
- Assimilate new knowledge and stay abreast of new developments in advisory services capabilities, reserving and allowance, advanced analytics, regulatory expectations, and current business and industry trends relevant to our clients
- Understand our clients' needs and consistently deliver quality client services focusing on more complex, judgmental, and/or specialized issues
- Monitor progress, manage risk and ensure key stakeholders are kept informed about progress and expected outcomes
- Demonstrate ability to perform in a high-pressure environment
- Drive high-quality work products within expected timeframes and on budget
- Lead and manage a team in a dynamic environment, focusing on the importance of coaching and developing teams
- Understand EY and its service lines and actively assess what the firm can deliver to serve clients
- Cultivate business development opportunities
- Master's or PhD degree in in Economics, Environmental Studies, Finance, Mathematics, Statistics, Data Science, Computer Science, Engineering, Physics, or a related field over 4 years of related work experience
- Desire to develop and integrate quantitative skills within a required scope of designing and implementing business services
- Functional knowledge and experience with statistical and numerical techniques and business acumen
- Experience working in a financial product engineering/research and development environment designing and developing quantitative methods and services
- Leadership as well as proven project management skills
- Excellent written and verbal communication skills
- Willingness to travel to meet client needs
- The opportunity to manage a portfolio of talent within a designated service line
- A collaborative environment where everyone works together to create a better working world
- Excellent training and development prospects, both through established programs and on-the-job training
- An excellent team of senior colleagues, dedicated to managing and varying your workload
- Support, coaching, and feedback from some of the most engaging colleagues around
- Opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way that's right for you
- Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.