Retail RWA Senior Analyst, AVP - Tampa (Hybrid)

The Capital Planning, Forecasting and Analytics team, within the Capital Planning group, is responsible for the RWA (Risk Weighted Asset), forecasting and analysis processes. It is accountable for developing a sustainable operating model, leading the Global Process for RWA in order to comply with continuously changing regulatory requirements. For most regulatory capital disclosures, Capital Planning interfaces with U.S. and certain regional regulators and is required to attest to RWA results.

The Capital Planning, Forecasting and Analytics team is looking for a talented self-starter to support regulatory and management requirements as they relate to forecasting and analyzing RWA results and communicating the findings to key stakeholders inside and outside Capital Planning.

The role will be a Financial Solutions Analyst to support Finance functions for the Basel III Advanced and Standardized activities for Citigroup and other legal vehicles. In particular, this role requires the use of data science, modeling, simulations, and predictive analytics to guide decision-making processes. These tasks involve understanding business and finance forecasting, and then applying algorithms to estimate the forecasted RWA numbers.  The forecasted number is a great forward looking indicator on the amount of future regulatory capital necessary during a stressed or severely stressed economic environment, then used as an input to Citi’s capital planning exercise and CCAR Fed reporting. Given the high level of interaction with seniors, excellent interpersonal skills as well as the ability to work under pressure to meet tight deadlines is essential.  Strong analytical skills are required and a robust working knowledge of Basel rules and requirements and related risk management practices are a plus.

In addition, this candidate will develop to become a SME on regulatory rules and requirements while also providing interpretive guidance as required. This position will report to the Predictive Analytics Group Manager in Tampa.

The candidate will be responsible for:

• Calculating Risk Weighted Assets projections for Banking Book exposures using Basel III Advanced and Standardized approaches
• Partnering with Model development teams, analyze macroeconomic variables and articulate their inter-relationships with the forecasted risk parameters. Document the inter-relationship in a business-friendly language in a crisp and concise manner
• Performing advanced quantitative analysis and assess relevancy of the key risk weight parameters such as delinquency, scores, and line utilization, etc.
• Review risk exposure calculations and forecasts for Basel, CCAR and DFAST requirements
• Define and Perform attribution analysis for forecasting scenarios
• Provide Business inputs for the aspects related to implementation of Risk Weighted Assets forecasting, attribution analysis and regulatory reporting
• Prepare high quality presentations of RWA projections key stakeholders like such as Business, Finance and Independent Risk Management
• Continuously improve subject matter expertise relating to Basel III regulatory guidelines and financial products in the business areas to become a trusted advisor to the work stream leads, acting as a partner in delivering RWA analysis and articulating them in presentations to seniors in a crisp and concise manner
• Creation of Senior Management-ready materials, particularly CCAR presentations to Lines of Businesses, Independent Risk Management, Finance and Regulators
• Act as a sponsor, substantively manage and coordinate the end to end model lifecycle requirements as it pertains to the Banking Book RWA components
• Work across the firm to interpret Banking Book regulations, drive change and influence risk and regulatory outcomes for RWA Actuals and Forecasts
• Manage, contribute to, and coordinate either across functions or within Risk for RWA Actuals and Forecasting Methodologies and Documentation, including the remediation plans as needed 

Qualifications:

• Bachelor's degree and significant qualifications in Finance, Economics, Computer Science, Math, Financial Engineering or related field
• 3+ years of experience in Financial Services industry or data analytics
• Experience using coding skills, analytical tools, machine learning / AI languages and algorithms in either SQL, R, SAS or Python is a plus
• Advanced Microsoft Excel skills and the ability to quickly develop advanced knowledge of MS Excel and Access (or other database front end query applications) required. 
• Possess quantitative analysis and data preparation and interpretation skills
• Ability to define, articulate and re-engineer complex processes and procedures, with appropriate controls, and think both strategically and tactically while driving