Senior Analyst

The role:
SoFi’s Fraud Prevention Center of Excellence team has responsibility for ensuring responsible growth in lending, banking, investing and other member related activities that are consistent with the company’s risk appetite. The team holistically manages enterprise fraud threats and ensures strong compliance with regulations, acts as a first line of defense in oversight of business operations,
and works to ensure fraud prevention risk policies factors a member-first experience.
Senior Analyst of Fraud Analytics & Reporting is responsible for driving intelligence through analytics to drive Fraud Operations efficiency, efficacy, and control. The role will be tasked to partner with  a team of onshore and offshore analytics professionals to drive Fraud Prevention excellence through process analytics and reporting. You will partner with different Fraud Prevention teams to understand strategy & processes, develop management reporting, and identify opportunities to increase automation, balance efficiency and capacity and drive independent controls. Senior Analyst of Fraud Analytics & Reporting reports directly to the Senior Manager of Fraud Analytics & Reporting.

What you’ll do:

• Leverage data and analytics to gain insights and drive efficiency and effectiveness

• Utilize data analytics and tools to identify gaps in fraud operations work, and partner with fraud operations managers to design solutions

• Provide ad-hoc reporting and analytics to identify key drivers of fraud complaints

• Lead design, development and maintenance of wing-to-wing Fraud Operations reporting to drive key performance indicators and SLAs.

• Partner with WorkForce Management to drive effective challenges on assumptions and forecasting methodology

• Partner with a team of analysts to ensure flawless execution in Fraud Operations analytics

• Support the development of new processes and new product launch by identifying business requirements from Fraud Operations analytics point of view

• Lead for all cross-functional discussions related to Fraud analytics

• Teamwork is Job 1… daily critical collaboration is necessary with Fraud Operations, Fraud Prevention Policy, Fraud Platform, other Risk functions, and Engineering Product Design. The collaboration ensures transparency in data source, knowledge sharing and clear communications to execute concisely

• Members are our Passion… ensure our SoFi members are protected from fraud at every touchpoint but also equally provide timely service. Leverage analytics to understand Member complaints and partner with Fraud Operations to deliver best experience while balancing fraud threats and deliver timely services

• Innovate… we need you to bring your brightest ideas to build best-in-class fraud operations processes across SoFi’s wide suite of products

• Data Driven… Lead the discussion on change management using data to drive the change. Collaborate with workforce management, Fraud Operations, PMO, and Risk Infrastructure to help architect the future of fraud operations with analytically based assessment and deployment capabilities to drive efficiency, right staffing, and agent level accountability

• Challenge Status Quo… constantly evaluate and identify opportunities to improve the Fraud Operations process or identify opportunities to make changes to optimize balance of Member experience, fraud prevention, and costs; re-evaluate technological infrastructure to continuously optimize the balancing equation

• Drive Performance Outcomes… Design instrumentation to drive performance at the Fraud Operations. Defined operational SLAs through data as well as identify anomalies

• Risk Controllership… Understand and design appropriate Fraud Operations control points, lead monthly Operational reviews and identify drivers to ensure flawless executions by Fraud Operations.

• Be a Fraud Operations Analytics SME… Serve as a subject matter expert for Fraud Operations process control points and data assets.

• Qualifications

• 2-4 years of Fraud Analytics experience

• Have an in-depth understanding of different analytics approaches to solve different types of business opportunities

• Experience analyzing large datasets using SQL/Python and other statistical analysis packages to drive strategies to balance Member experience and loss prevention

• Strongly Preferred: Have experience managing fraud strategies or Operations analytics

What you’ll need:

• 2-4 years of Fraud Analytics experience

• Have an in-depth understanding of different analytics approaches to solve different types of business opportunities.

• Experience analyzing large datasets using SQL/Python and other statistical analysis packages to drive strategies to balance Member experience and loss prevention

• Strongly Preferred: Have experience managing fraud strategies or Operations analytics