1+ months
2018-06-122018-09-09

SVP, Model / Analysis / Validation Group Mgr

Citigroup
Queens, NY
  • Primary Location: United States,New York,Long Island City
  • Other Location: United States,Delaware,Wilmington
  • Education: Bachelor's Degree
  • Job Function: Risk Management
  • Schedule: Full-time
  • Shift: Day Job
  • Employee Status: Regular
  • Travel Time: Yes, 10 % of the Time
  • Job ID: 18022723

Description


Position Summary

Branded Cards North America (N.A.) is the market leader in the credit card industry. With a pre-eminent global brand and distribution, Branded Cards N.A. maintains its leadership position by delivers industry-leading products, advanced services and payment systems that address clients evolving needs. 
Integral to Citi Cards success is the introduction of innovative products and solutions through strong partnerships and dedicated employees who are committed to excellence. Attracting market-leading talent is a priority at Citi Cards N.A., and the combination of financial strength and broad product scope provides rewarding opportunities for outstanding professionals to excel in a dynamic organization.
The individual will be part of a dynamic risk modeling team, which supports development of various regulatory models for CECL and CCAR that would ensure compliance with FASB standard. Working with key stakeholders and cross-functional groups, the individual will be required to operate strategically as well as tactically in all phases of the modeling process. He/she will use technical expertise combined with analytical acumen to provide top-flight deliverables and leadership in a fast-paced, Risk Management landscape.
Responsibilities
  • CECL significantly contribute the Branded Cards transition to CECL methodology. This includes model development, business impact simulation, transition plans and representing branded cards across a range of stakeholders
  • Develop models and oversee model development, validation, and deployment efforts for CCAR models for Branded cards
  • Continue to advance CCAR forecasting methodology and integrate CCAR models into business decisioning and planning, Risk Appetite, Loss Forecasting and LLR.
  • Manage successful annual quantitative and qualitative CCAR assessments and submissions.
  • Work with large datasets and complex algorithms to solve data science challenges  
  • Leverage big data to develop innovative deployable solutions                            
  • Help introduce best-in-class, cutting edge machine learning techniques to drive profitability through innovation
  • Ensure timely model performance tracking, and assist in process automation to drastically improve process/operation efficiencies (where possible) that will enable the business to make rapid credit decisions against market condition changes                                 
  • Ensure the compliance of development and validation of models with respect to internal and external guidelines
  • Support the development of training curriculum and standards
  • Partner with Risk and Decision Management organizations to understand the source of new data and continue to improve the process of defining, extracting and utilizing the new data
  • Interact with senior levels of management to facilitate understanding of usage of credit risk models and inform critical decisions. 
  • Provide leadership and guidance for junior modelers

Qualifications


Qualifications
  • Degree required in statistics, mathematics, engineering, physics, economics, or related quantitative discipline (Masters or Phd degrees preferred)
  • 8+ years experience in risk management, statistical modeling, model management or other relevant field (or 7+ years experience with Masters Degree or PhD). People management experience preferred but not required.  
  • 3+ years managing staff (direct or indirect)
  • Sound knowledge of statistical modeling concepts and industry best practices; experience with econometric and statistical modeling or application risk scoring
  • Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis
  • Experience with analytical or data manipulation tools (e.g. SAS, SQL, R, C Programming in UNIX)
  • Proficient with MS Office suite
  • Ability to deliver compelling presentations and influence executive audiences
  • Excellent communicator; ability to engage and inspire team forward
  • Ability to drive innovation via thought leadership while maintaining end-to-end view
  • Effective cross-functional project, resource, and stakeholder management; effectively engage with internal audit and external regulators
  • Understanding of key drivers of decisioning, such as Strategic Plan, CCAR and Risk Appetite Framework (RAF), as well as in-depth knowledge of the Cards Business P&Ls and risk management concepts and practices a plus
  • Prior experience in using advanced machine learning tools etc. in any data intensive role (Financial services experience not required)                                                                                                                                             
  • Experience working in Big data environments; Intellectual curiosity to stay abreast of technological advances.

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SVP, Model / Analysis / Validation Group Mgr

Citigroup
Queens, NY

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