Associate - Data and Analytics

If you are a strategic thinker with a passion for driving solutions in quantitative analytics, you have found the right team. As a Quantitative Analytics Professional within our Consumer & Community Banking Finance team, you will be instrumental in defining, refining, and achieving the firm's strategic goals. Your role will involve leading the analytical initiatives during the Finance Decision Optimization product development for consumer lending products within the Product and Transformation team. The Finance Decision Optimization team provides support to various lines of business, including home lending, retail banking, auto finance, wealth management, and business banking. This position requires a visionary approach, the ability to present to executive stakeholders, and the responsibility to ensure engineering teams meet overarching delivery objectives. While this is not a model development role, it involves close collaboration with modeling, data, business, and technology teams to deliver analytical solutions, conduct deep dives, assess whether models under development meet business requirements, and perform back-testing.

Job Responsibilities

• Define modeling requirements for optimizing financial decisions across lending and deposit products, including mortgage, auto, card, business banking, and wealth management.
• Collaborate closely with the business modeling team to develop robust financial decision-making models.
• Analyze model inputs and outputs to support model development and deployment (User Acceptance Testing, tie-outs etc.).
• Partner with business teams to integrate model outputs into business strategies.
• Conduct comprehensive analyses to assist management in understanding the business impact of financial strategies before and after the incorporation of these models.
• Develop and maintain dashboards and relevant reporting to monitor model performance.
• Collaborate effectively with finance, modeling, data, technology, and business teams.
• Present results and recommendations clearly and concisely.

• A postgraduate degree in a quantitative discipline such as Mathematics, Finance, Statistics, Economics, or equivalent work/training is required.
• Over 6 years of technical delivery experience with a proven track record of increasing responsibility.
• Banking experience in one or more U.S. consumer credit portfolios (e.g., U.S. Mortgage, Home Equity, Credit Card, Automotive, Lease, Business Banking).
• Knowledge of finance processes, particularly pricing and macroeconomics.
• Strong technical and statistical skills, with experience in the development or use of ML models.
• Ability to synthesize data and communicate effectively to leadership both verbally and in writing.
• Meticulous attention to detail, analytical and inquisitive, with high standards for quality and accuracy.
• Proficiency in Microsoft Office, especially Excel and PowerPoint.
• Experience with data extraction and analysis tools such as Python/Structured Query Language.

• Preference for advances degrees like Masters.
• Familiarity with public cloud platforms, particularly AWS, is an added advantage.
• Proven ability to multitask effectively, set expectations, and escalate issues when necessary.
• Project management skills, including a well-organized and structured approach, with the ability to meet tight timelines on complex deliverables and manage projects across cross-functional groups.
• Strong communication and interpersonal skills, with the ability to interact with individuals across departments and functions, including senior-level personnel.
• Ability to work effectively under pressure and in a rapidly changing environment to meet deadlines.
• Demonstrated leadership and a desire to mentor and develop credit analysts within the team.