This position is within Citi’s USPB In-Business Unsecured Lending Risk. This role will develop, implement and monitor credit policy strategies and capabilities for new account originations across the Unsecured lending portfolios for US credit cards . You will be responsible for ensuring that credit strategies are analytically sound, compliant with regulatory expectations, and aligned with bank’s risk appetite and growth objectives.
In this role, you will
Support design, development & optimization of the acquisition credit policies for a $150B+ portfolio that generates 15MM new accounts annually
Support tactical and strategic Risk Analytics projects for U.S. Consumer Cards
Perform quantitative analyses to assess risk-adjusted return, risk segmentation, and tradeoffs in acquisition policy changes
Prepare proposals and review with the stakeholders within Risk, document the effective challenge and incorporate inputs in revising the proposals
Partner with modeling team on new tools, machine learning and alternate data
Develop a testing framework to deploy learnings faster using repeatable playbooks and monitoring routines
Apply innovative analytical techniques to customer and transaction data to build risk mitigation strategies and processes
Apply subject matter expertise to the prioritization and planning of projects in conjunction with risk management policies and strategies.
Track and report on initiatives, performance results, emerging trends and opportunities to senior management
Ensure adherence to internal and external regulatory expectations
Ensuring strategies are executed in a strong control environment
Responsibilities:
Must have capability to clearly develop and communicate analysis
A good understanding of credit life cycle
Must have hands on expertise in developing and managing segmentations
Presentations to both technical and non-technical personnel are required to be made frequently as part of the job
Ability to work efficiently in a matrix environment balancing between both business and functional interactions and priorities.
Skills:
7+ years of relevant experience
Experienced in developing, implementing, and monitoring credit strategies or scoring models across authorizations, underwriting, existing customer management and collections
Programming skills in advanced SAS, SQL, Knowledge Studio, SAS E-miner in mainframe, UNIX and PC environments.
Highly proficient in Excel/pivot tables and PowerPoint.
Exposure to project/process management
Strong communication and presentation skills targeting a variety of audiences
Flexibility in approach and thought process Strong influencing and facilitation skills.
Education:
Bachelor’s/University degree in statistics, mathematics, economics, or equivalent experience. Master’s/PhD degree is a plus