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KeyBank Quantitative/Modeling Associate - OFAC in Chicago, Illinois

Quantitative/Modeling Associate - OFACinChicago, ILatKey Bank- Corporate

Date Posted: 9/11/2019

Job Snapshot

  • Employee Type: Full-Time

  • Location: Chicago, IL

  • Job Type: Accounting Finance Banking

  • Experience: Not Specified

  • Date Posted: 9/11/2019

About Us

Headquartered in Cleveland, Ohio, KeyCorp (Key) is one of the nation s largest financial services companies. Key provides investment management, retail and commercial banking, consumer finance and investment banking products to individuals and companies throughout the United States and, for certain businesses, internationally.

Our goal is to be the best regional bank in the U.S. What that means is we put our clients needs first and take a customized approach to meeting those needs. At Key we ve made a promise to our clients that they will always have a champion in us. To deliver on that promise, we re committed to building a team of engaged employees who do the right thing for our clients and help them achieve their financial goals each and every day.

Job Description

Essential Job Functions

  • Individual will perform a broad range of quantitative risk analysis to support the Financial Crimes team within Risk Modeling & Analytics (RM&A), including model development, ongoing monitoring and validation activities primarily related to Office of Foreign Assets Control (OFAC) sanctions lists screening.

  • Develop/assist with the design and/or testing of in-house and vendor models; includes working on coding theories, inputs, methodologies, processing, ongoing monitoring and periodic tuning.

  • Adhere to a strict ongoing monitoring schedule; provide analytical results to Model Owners and assist in evaluating model reliability/performance.

  • Leverage SAS to perform model reconciliation and testing activities.

  • Execute “below-the-line and synthetic name testing to evaluate threshold settings for alert generation.

  • Write/review documentation to comply with KeyBank model governance standards and regulatory expectations.

Required Qualifications

  • Advanced degree in statistics, mathematics, economics, or other quantitative field.

  • 3 to 5 years of experience in model development and/or data analytics, preferably with experience in the financial services industry. Experience within financial crimes, risk, or compliance is preferred.

  • Knowledge of regulatory and industry standards related to OFAC/watchlist screening.

  • Superior programming skills (SQL or C++) and demonstrated experience with SAS, R or other advanced statistical/econometric analysis software.

  • Familiarity with modeling software (SAS EG, SAS EM, Xeno, Model Builder).

  • Proficiency in the use of Microsoft Office with advanced experience in Excel and Access or SQL Server.

  • Prior experience working with AML/OFAC software (e.g., LexisNexis Bridger, FircoSoft, ACI Money Transfer System, Oracle FCCM (aka Mantas), or Actimize AML).

  • Advanced knowledge of statistics/econometrics and excellent analytical ability.

  • Extensive data management skills.

  • Demonstrated skill in effectively communicating (verbal and written) analytical results and experiences to a diverse audience; ability to respond to client questions with clear/effective answers and give cohesive presentations.

  • Exceptional project management and organization skills, ability to support several projects simultaneously to meet strict deadlines.

  • Excellent problem-solving and decision-making abilities

  • Strong interpersonal skills; ability to work well in a team environment.

Preferred Qualifications:

  • Familiarity with KeyBank systems and how to maximize the use of customer and transaction data in these systems.

  • One or more years of experience in AML or OFAC modeling, or a similar area.


KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to engaging a diverse workforce and sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.