Quantitative Manager-CCAR/CECL
About The Position
The Quantitative Manager will lead and support the model governance analytical framework development, model implementation, monitoring, and documentation of quantitative models used in commercial/wholesale credit risk rating, including PD, LGD, EAD models. This role requires a high level of technical expertise in data analysis, statistical modeling, and business analytics, along with a strong understanding of banking products, commercial portfolio, and related economics. Qualified candidates should have proven project management skills, outstanding modeling and quantitative analytics background, and strong communication skills. The candidate must be able to multi-task effectively and above all be results oriented. The desirable candidate will operate with a high degree of independence and should have the ability to work effectively in a collaborative work environment. Responsibilities include building data and analytical infrastructure foundations, refining processes, developing analytical intelligence and dashboard reporting, building analytical solutions, informing business decisions, and managing projects aimed at improving efficiency and performance. This role is accountable for managing risk by adhering to policies and procedures, elevating concerns, and ensuring actions align with the Banks risk appetite and commitment to a positive customer and stakeholder experience.
Requirements
- Advanced degree in quantitative analytics, statistics, economics, engineering, or a related field.
- 8-10 years of experience in statistical/econometric modeling, data analytics, and analytical reporting.
- Proficiency in programming languages and tools such as Python, SAS, SQL, VBA.
- Experience dealing with complex data systems extracting and constructing datasets, alongside cloud-based tools, such as snowflake system.
- Good understanding of credit risk modeling frameworks, scorecard development, and portfolio management concepts.
- Strong verbal and written communication skills and ability to effectively present technical materials clearly with both technical and non-technical audiences.
- Strong analytical agility and problem-solving skills.
- Ability to work collaboratively in cross-functional teams and manage multiple priorities.
Nice To Haves
- Familiarity with commercial lending products and regulatory requirements is a plus.
Responsibilities
- Provide quantitative analytical support for commercial credit risk and modeling.
- Provide analytical consulting support to LOB teams and other cross functional business partners for ad-hoc business analytics requests and formulate analytical procedures to deliver actionable insights and analytical solutions.
- Develop and continuously support and enhance data reconciliation infrastructures and data construction foundational processes to ensure data quality and achieve process efficiency for model development, monitoring, and business decisions.
- Prepare standard model and monitoring documentation that aligns with regulatory expectations and internal governance standards.
Benefits
- Comprehensive benefits and differentiated compensation offerings
- Eligible to participate in an incentive compensation plan
- Extensive benefits programs designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
