Lead Data Science Analyst – Fraud Risk Management

Discover

Location: Phoenix, Arizona

Job Type: Not Specified

Posted

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Job Description

Lead Data Science Analyst – Fraud Risk Management

As part of the Transaction Fraud family, you will be responsible for tracking, analyzing and preventing fraud losses on compromised cards. You will develop, enhance, and document strategies and performance tracking on Discover credit cards.

Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.

Responsibilities

  • Develop sophisticated algorithms to detect merchant compromise and authorization testing events.

  • Monitor emerging fraud trend on compromised cards; identify and evaluate opportunities to reduce fraud losses; implement business rules to decline or alert at Point of Sale (POS) based on real-time fraud risk assessment.

  • Collaborate with and communicate results to both internal customers and external vendors.

  • Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.

  • Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.

  • Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.

  • Manages multiple priorities, communicate business performance and project progress to management & business partners.

  • Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.

  • Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.

  • Continuously improves technical and leadership skills through training and development.

Minimum Qualifications

At a minimum, here’s what we need from you:

  • Bachelor's degree in Analytics, Engineering, or Statistics

  • 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.

Preferred Qualifications

If we had our say, we’d also look for:

  • Master's degree in Analytics, Engineering, Mathematics or Statistics

  • 2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related

  • Expert knowledge of SQL and SAS/Python

  • Experience designing and developing dashboards and visualizations in Tableau

  • Exceptional ability to think both strategically and analytically

  • Strong interpersonal skills with a track record of maintaining good working relationships with team members, business and technological partners

  • Fraud risk management experience is a plus

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What are you waiting for? Apply today!

The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.

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