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Retail Services - SVP, Cross-Portfolio Risk Management - Full-time / Part-time
•30 days ago
| Hours | Full-time, Part-time |
|---|---|
| Location | Elk Grove Village, IL Elk Grove Village, Illinois |
About this job
Citi Retail Services is seeking a multi-faceted Risk professional to bring strategic thought leadership, analytic and relationship management skills to the business.
A proprietary Big Data capability has been developed within Citi Retail Services Risk. This capability, the Entity Linkage Framework (ELF*), enables unprecedented views of individuals, customer and other defined relationships. As a result, the way we develop and implement our credit and fraud lifecycle strategies is evolving to a broader foundational basis with a significantly more expanded and effective ability to manage prospects and customers. This individual will be responsible for identifying and advancing the learnings and functionality gained from ELF as well as driving the integration of the learnings across the business. This individual will also be responsible for providing risk policy oversight to the fraud policy utility as well as work closely with the Credit and Fraud Early Warning teams along with other operations teams.
The ideal candidate will possess strong oral and written skills and have demonstrated success influencing others on major initiatives. The individual is expected to work effectively with leaders & their teams from Business, Finance, Global Risk, Decision Management, Legal, Compliance and Fair Lending.
* The industry leading E.L.F. program is an award-winning Big Data application of graph theory and network analytics in credit and fraud risk management embedded in a high volume and fast paced lending environment.
Delivering both consumer and commercial credit card products, Citi Retail Services (CRS) provides private label and co-brand cards to retailers and their clients across North America. Backed by the global power of Citi, the business serves nearly 90 million accounts for a number of iconic brands, including Best Buy, ExxonMobil, Macy's, Sears, Shell and The Home Depot. A recognized leader in the field, CRS offers cutting-edge digital options, multi-channel retailing expertise and industry-leading data analytics capabilities that help retailers from a broad range of industries grow their businesses.
Qualifications:
* Proven excellence in risk analytics
* Bachelor's degree in a quantitative discipline required, Masters preferred
* Minimum 10 years of credit / fraud risk management experience preferred
* Solid grounding in the regulatory environment, governance processes, risk policies, procedures, systems and strategies is required
* SAS, segmentation tools and experience with emerging analytic technologies like Big Data platform and machine learning models desired
* Experience with loss forecasting, fraud and credit abuse are desirable
* Experience in interface with credit bureaus and other data furnishers
* Experience in working with operations groups including Customer Service, Collections and Fraud Operations
* Strong knowledge of financial drivers, credit operations, and risk modeling
* Excellent relationship management skills with the ability to navigate a large, complex organization
* Outstanding communication and presentation skills with a professional, compelling presence
* Ability to distill highly technical information into narratives suitable for audiences with varying levels of technical knowledge
* Ideal candidate will have a positive result driven attitude.
A proprietary Big Data capability has been developed within Citi Retail Services Risk. This capability, the Entity Linkage Framework (ELF*), enables unprecedented views of individuals, customer and other defined relationships. As a result, the way we develop and implement our credit and fraud lifecycle strategies is evolving to a broader foundational basis with a significantly more expanded and effective ability to manage prospects and customers. This individual will be responsible for identifying and advancing the learnings and functionality gained from ELF as well as driving the integration of the learnings across the business. This individual will also be responsible for providing risk policy oversight to the fraud policy utility as well as work closely with the Credit and Fraud Early Warning teams along with other operations teams.
The ideal candidate will possess strong oral and written skills and have demonstrated success influencing others on major initiatives. The individual is expected to work effectively with leaders & their teams from Business, Finance, Global Risk, Decision Management, Legal, Compliance and Fair Lending.
* The industry leading E.L.F. program is an award-winning Big Data application of graph theory and network analytics in credit and fraud risk management embedded in a high volume and fast paced lending environment.
Delivering both consumer and commercial credit card products, Citi Retail Services (CRS) provides private label and co-brand cards to retailers and their clients across North America. Backed by the global power of Citi, the business serves nearly 90 million accounts for a number of iconic brands, including Best Buy, ExxonMobil, Macy's, Sears, Shell and The Home Depot. A recognized leader in the field, CRS offers cutting-edge digital options, multi-channel retailing expertise and industry-leading data analytics capabilities that help retailers from a broad range of industries grow their businesses.
Qualifications:
* Proven excellence in risk analytics
* Bachelor's degree in a quantitative discipline required, Masters preferred
* Minimum 10 years of credit / fraud risk management experience preferred
* Solid grounding in the regulatory environment, governance processes, risk policies, procedures, systems and strategies is required
* SAS, segmentation tools and experience with emerging analytic technologies like Big Data platform and machine learning models desired
* Experience with loss forecasting, fraud and credit abuse are desirable
* Experience in interface with credit bureaus and other data furnishers
* Experience in working with operations groups including Customer Service, Collections and Fraud Operations
* Strong knowledge of financial drivers, credit operations, and risk modeling
* Excellent relationship management skills with the ability to navigate a large, complex organization
* Outstanding communication and presentation skills with a professional, compelling presence
* Ability to distill highly technical information into narratives suitable for audiences with varying levels of technical knowledge
* Ideal candidate will have a positive result driven attitude.