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Cons Prod Strategic Analyst III

Newark, Delaware;

Job Description:

Line of Business Role Description

The GBAM Fraud Strategies & Analytics Team is looking for an experienced analytical professional to join our team supporting Prepaid Card Fraud Strategies.  In this role, you will be expected to quantify/assess fraud risks associated with the Prepaid Card product, partnering with Product, Data Technology teams, GIS/GFC, Model Development & Governance, Vendors (Visa) and Fraud & Claims Operations management. The incumbent will assist with developing business cases to enhance/create fraud rules, defining business requirements for fraud initiatives and utilizing knowledge of Identity Fraud, Malware, Phishing, Business Email Compromise, Account Takeover and other fraud risks to best mitigate 1st and 3rd party fraud balancing the customer experience with appropriate controls.

Required Skills

The candidate must be at an advanced to expert level in SAS and SQL.  Familiarity with other programming languages and knowledge of data extraction tools will be useful.

Fraud decision engine management experience highly preferred.

Experience working in analytical environment with a strong preference towards prior financial services or cyber security roles.

Proven track record in Logic and critical thinking to identify trends and make data-driven recommendations.

Ability to work in a fast-paced, dynamic environment is critical. 

Advanced degree, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance or business is preferred.

Commercial Pre-Paid Card knowledge a plus

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Line of Business Role Description

The GBAM Fraud Strategies & Analytics Team is looking for an experienced analytical professional to join our team supporting Prepaid Card Fraud Strategies.  In this role, you will be expected to quantify/assess fraud risks associated with the Prepaid Card product, partnering with Product, Data Technology teams, GIS/GFC, Model Development & Governance, Vendors (Visa) and Fraud & Claims Operations management. The incumbent will assist with developing business cases to enhance/create fraud rules, defining business requirements for fraud initiatives and utilizing knowledge of Identity Fraud, Malware, Phishing, Business Email Compromise, Account Takeover and other fraud risks to best mitigate 1st and 3rd party fraud balancing the customer experience with appropriate controls.

Required Skills

The candidate must be at an advanced to expert level in SAS and SQL.  Familiarity with other programming languages and knowledge of data extraction tools will be useful.

Fraud decision engine management experience highly preferred.

Experience working in analytical environment with a strong preference towards prior financial services or cyber security roles.

Proven track record in Logic and critical thinking to identify trends and make data-driven recommendations.

Ability to work in a fast-paced, dynamic environment is critical. 

Advanced degree, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance or business is preferred.

Commercial Pre-Paid Card knowledge a plus

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21073959

Band: H5

Manages People: No

Travel: Yes, 5% of the time

Manager:

Talent Acquisition Contact:

Larisa McLaughlin

Referral Bonus:

0