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Senior Manager – Fraud Analytics

SPECTRUM

This is a Full-time position in Deer Park, NY posted December 31, 2020.

JOB SUMMARY nThe Senior Manager, Credit Services
– Fraud Analytics will be responsible for the development of insights and analytical capabilities to inform critical business decisions.

The manager will serve as a member of the Credit Services Fraud Management team and requires the combination of analytical expertise and business acumen.

In this role, they will create anti-fraud strategies, manage analytical projects that generate actionable insights to better understand performance of our strategies.

Data analyses from this team will drive a deeper understanding of fraud events and continuously improve fraud management capabilities.n nMAJOR DUTIES AND RESPONSIBILITIES nActively engages with Credit Services’ leaders, operations and other business partners to provide analytical insights into fraud events.n nMonitors and evaluates performance of anti-fraud strategies and plans to evaluate business impacts while defining opportunities to optimize.n nConducts root cause analysis to identify the gaps in the current fraud management processes, and perform complex multivariate analysis to create new and enhance existing controls.n nPartners with the Information Technology teams to create MIS and drives ad hoc projects.n nRecruits, manages, and develops team members.n n n REQUIRED QUALIFICATIONSnSkills /Abilities and Knowledge Experience in fraud predictive analytics techniques, identifying trends and patterns in data, and applying relevant analytical and statistical methods to evaluate and solve problems.

Ability to implement processes to ensure quality data, adequacy, accuracy and legitimacy of data.

Proficiency with SAS/R/Python programming.

Excellent SQL skills, comfortable using a data access tool such as Toad, and Oracle PL/SQL.

Experience with PowerPoint, Excel, and data visualization experience is necessary.

Exceptional written and verbal communication skills Proven ability to perform effectively in a fast-paced environment n Education nBachelor’s degree in Business, Mathematics, Statistics, Computer Science or other quantitative fields is required.

Masters or MBA is preferred.n nRelated Work Experience n7 Years
– Developing anti-fraud strategies n3 Years
– Developing statistical models n n nWORKING CONDITIONS nOffice environment with some necessary travel expected