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.
Required Qualifications, Capabilities, and Skills
- 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.
Preferred Qualifications, Capabilities, and Skills
- 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.