This role strengthens the bank s credit risk resilience by ensuring accurate and timely ACL execution, enhancing control rigor, and delivering clear analytics that inform senior management decisions. By improving reporting quality, supporting stress testing and capital planning, and driving workflow efficiencies, the Lead Analyst directly contributes to stronger governance, better forecasting of credit losses, and improved alignment across Finance, Risk, and Modelling teams ultimately elevating the overall risk management framework. This role strengthens the bank s credit risk resilience by ensuring accurate and timely ACL execution, enhancing control rigor, and delivering clear analytics that inform senior management decisions. By improving reporting quality, supporting stress testing and capital planning, and driving workflow efficiencies, the Lead Analyst directly contributes to stronger governance, better forecasting of credit losses, and improved alignment across Finance, Risk, and Modelling teams ultimately elevating the overall risk management framework.
Key Deliverables (Duties and Responsibilities)
- ACL Execution & Analysis: Contribute to the execution of ACL processes across FCB portfolios (e.g., credit cards, auto loans, commercial). Assist in producing monthly and quarterly reserve estimates in compliance with CECL and GAAP. Maintain execution schedules, ensure timely model runs, and escalate delays or anomalies.
- Controls & Compliance Support : Maintain documentation of ACL execution processes for audit and regulatory reviews. Perform periodic control checks (e.g., manual overrides, exception handling). Support audit and risk reviews by preparing traceable execution artifacts and documentation. controls & Compliance Support
- Reporting & Analytics: Oversee the preparation of ACL reporting packages for senior management, Finance, Risk, and regulatory stakeholders. Provide insights into key drivers of reserve changes, portfolio performance and macroeconomic impacts. Develop dashboards and analytics tools to enhance ACL visibility and facilitate data-driven decision-making. Support stress testing, scenario analysis, and capital planning efforts by integrating ACL insights into broader risk management frameworks.
- Cross-Functional Collaboration: Liaise with model developers, finance teams, and risk officers to clarify inputs, interpret outputs, and align results with expectations. Support the preparation of execution decks, walkthroughs, and summaries for managementmunicate variances or anomalies clearly and propose data- or logic-related resolutions.
- Process Improvement: Identify inefficiencies or bottlenecks in the execution workflow and suggest improvements. Participate in cross-functional working groups to standardize ACL practices. Document and maintain process maps and SOPs for ACL execution tasks.
Skills and Qualification (Functional and Technical Skills)
Functional Skills:
- 7+ years of experience in credit risk model development, monitoring, or similar quantitative roles
- Strong exposure to Commercial and Consumer Loan portfolios, with ability to interpret portfolio behavior and underlying risk drivers.
- Deep understanding of US banking regulations, credit risk governance frameworks, and model risk management standards.
- Strong attention to detail, excellent organizational abilities, and the capability to work both independently and collaboratively.
- Exceptional oral and written communication skills, with the ability to simplify complex technical concepts for business stakeholders.
- Proven ability to manage multiple projects, prioritize effectively, and meet time-sensitive deadlines.
- Ability to partner with cross-functional teams such as Modelling, Finance, Audit, Data, and Risk Governance to deliver high-quality analytical outcomes.
- Strong business judgement and the ability to translate analytical insights into actionable recommendations
Technical/Business Skills:
- Advanced experience with retail credit products (e.g., credit cards, auto loans, mortgages) and commercial credit products (e.g., CRE, C&I lending).
- Familiarity with ACL automation, credit loss forecasting tools, and data infrastructure supporting allowance calculations.
- Hands-on experience in data visualization tools such as Tableau and Power BI, with ability to build dashboards for senior leadership.
- Proficiency in analytical programming languages such as SQL, Python, and SAS for data extraction, modelling, and performance analytics.
- Strong project management skills to drive initiatives related to process improvement, data enhancement, and regulatory compliance.
- Understanding of model performance monitoring, back-testing, challenger models, and diagnostics for credit risk models.
- Working knowledge of data quality assessment, data lineage, and controls for ensuring
accurate and reliable risk measurement.
- Ability to interpret and implement regulatory expectations related to CECL, Basel capital standards, stress testing (CCAR), and credit policy.
- Familiarity with portfolio risk analytics, including delinquency analysis, roll-rate behavior, segmentation, and cohort tracking.
- Experience in preparing management reports, board-level decks, and analytics summaries for senior stakeholders
Qualification / Experience
- Master s degree in Statistics, Mathematics, Finance, Economics, Information Sciences or any quantitative field or MBA in Finance
- Certifications like CFA or FRM will be desirable
- Advanced proficiency in Python
