Sr. Capital Planning & Stress Testing Analyst

At VyStar, we offer competitive pay, an excellent benefit package that includes a 401(k) Plan, an extensive paid technical and on-the-job training program, and tuition reimbursement--available to all full and part time employees.  Part time positions start at a minimum of 30 hours per week.

We encourage you to become a part of VyStar Credit Union's family of employees.

Sr. Capital Planning & Stress Testing Analyst

Accountability Statement:

The incumbent will be part of the Capital Planning and Stress Testing (“CPST”) Team, which resides within VyStar’s front-line Finance department. The CPST Team is responsible for overseeing the capital planning and stress testing processes to ensure our institution’s compliance with regulatory requirements and to maintain robust capital adequacy. The Sr. CPST Analyst will be active in the development, implementation, and execution of the capital planning and stress testing processes ensuring alignment with regulatory guidelines and internal policies. The Sr. CPST Analyst’s key responsibilities will include data collection and analysis, assisting in the execution of stress testing models and methodologies, reporting and documentation, continuous improvement of processes.

Essential Job Functions:

Support the production of the capital plan, stress testing and scenario analyses to assess the credit unions’ capital adequacy under various economic conditions.

• Utilize and manage the ALM software, Moody’s ZM Desk, to enhance modeling accuracy and efficiency.
• Verify the appropriateness of modeling assumptions.
• Conduct advanced quantitative analysis to assess financial risks and support strategic decision-making processes.
• Develop, validate, and maintain financial models for stress testing and capital planning.
• Lead the preparation of reports for capital planning and stress testing in compliance with regulatory requirements.
• Utilize appropriate tools to create visual representations of data, such as charts and graphs.
• Work closely with accounting, risk management, and IT teams to ensure data consistency and accuracy.
• Document/Improve processes and methodologies.
• Implement and oversee data quality controls and validation checks to ensure the reliability of data used in simulations and reporting.
• Ad hoc projects pertaining to balance sheet analysis, technological improvements, etc.
• Proactively plan and manage timelines and workflow contingencies.
• Support the annual regulatory examination cycle.

Technical Skills:

• Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI).
• Experience using statistical software (e.g., R, Python) for data analytics and quantitative methods is a plus.
• Financial statements and/or Fixed Income markets knowledge
• ALM software such as Moody’s ZMdesk, QRM, FiServ (Sendero), FIS (BancWare), Empyrean, etc.
• In-depth understanding of balance sheet management, ALM modeling, capital planning and stress testing regulatory requirements and processes.
• Familiarity with credit risk modeling of Probability of Default (PD), Loss given Default (LGD) and Exposure at Default (EAD).
• Exceptional problem-solving abilities and attention to detail.
• Strong verbal and written communication skills to effectively present findings and recommendations.
• All employees and business units, as first line of defense, are expected to proactively help identify, assess, manage, and report risks within their domain of work. To enhance a healthy risk culture and support our growth for good pillar, employees will maintain vigilance in safeguarding our operations while ensuring compliance with regulatory mandates. The Risk team serves as the second line of defense by providing risk oversight and credible challenge whereas the Audit team serves as the third line of defense by providing risk assurance.

Experience:

Required:

• 3+ years of related experience in ALM modeling
• Proficiency in data analytics and quantitative methods

Preferred:

• Minimum of 5+ years of experience in data analysis, preferably within the banking or financial services industry.
• Strong knowledge of Asset Liabilities Management (ALM) is a plus.

Education:

• Bachelor’s degree in finance, Economics, Data Science, or a related field. A master’s degree, CFA/FRM designation or progress towards completion is preferred.

DISCLAIMERS AND WORK ENVIRONMENT

Nothing in this position description is an implied contract for employment. The position description is intended to be an accurate account of the essential functions.  The functions are not all encompassing and are sub