Citi Group Senior Vice President Statistical Modeler FP & A-C14 

Malaysia, Penang, George Town 

12304699

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

• We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
• We empower our employees to manage their financial well-being and help them plan for the future.
• We have a variety of programs that help employees balance their work and life, including generous paid time off packages.

In this role, you’re expected to:

• Being the Model Convergence and Transformation Lead, the incumbent will be responsible for end-to-end responsibility of conceptualizing the modeling framework and methodologies to meet regulatory and business planning requirements, the exploration of model development at account level for projecting PPNR using client characteristics and integrating the hand-offs process across Finance and Risk workstreams.
• Drive model convergence and Transformation initiatives as part of firm’s Transformation journey for different businesses.
• Explain quantitative and qualitative model results to front-office / FLU / FP&A / Treasury teams during quarterly model runs under different scenarios provided by Economic Scenario Group.
• Oversight of Deposit pricing models and continue to enhance pricing strategies while complying to MRM policies and procedures.
• Responsible for exploring application of alternate modeling techniques to facilitate model convergence efforts and presenting the same to senior model development leads. Also, be a champion in addressing observations raised by MRM and Internal Audit in a quantitative manner by thinking out-of-box.
• Review Model Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes.
• For specific businesses within Consumer and Wholesale, ensure sufficient coverage of Champion and Challenger models using different time series forecasting methodologies to comply with SR 15-18 guidance.
• Spearhead in managing difficult conversations with key stakeholder across Business heads, FP&A head, Treasury and obtain their approvals before submission to MRM.
• Participate and contribute to FRB / OCC exams and present model specific information to seniors in a succinct manner.
• Manage a team of 7-10 statistical modelers, provide guidance to them, manage their deliverables and review MDDs/ LRCs/AMRs before submission to Model Risk Management (MRM).

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

• 10-15 years of relevant statistical /business experience in financial services
• Demonstrated leadership and team management skills and ability to managing multiple projects and deadlines
• Managed a team of statistician / econometrician in a similar setting for minimum 6 years is a must
• Strong understanding of statistical techniques such as Ordinary Least Square regression (OLS), Fixed-effect Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration
• Understanding of Machine learning algorithms will be a plus
• Understanding of Consumer / Wholesale business to facilitate model convergence initiatives will be a plus
• Hands-on experience in programming and modeling using SAS, Python and R is preferred
• Follow a culture of accountability and strict quality control of the data integrity and modeling process
• Ability to build key relationships with finance and business teams
• Must be able to present technical matters in a way that is meaningful to the audience
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This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Time Type:

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