AVP, Acquisition Fraud Strategy (L10)

Job Description:

Role Summary/Purpose:

A critical role AVP, Acquisition Fraud Strategy, will play a key role in executing various analytics initiatives to control the fraud losses at credit acquisition for the business. The role is responsible for providing thought leadership, mentoring other team members, and will have an opportunity to work on major business initiatives that contribute to SYF’s growth and productivity objectives. A successful candidate will directly work with business (analytics, portfolio credit managers, implementation teams, fraud operations etc.,) in catering to end-to-end analytics needs. This role requires a person to proactively identify the opportunities and design & execute solutions to control fraud losses, grow the business and improve customer experience. This is a great opportunity for a person with experience in strategy building/model building in consumer credit.

This position is remote, where you have the option to work from home. On occasion we may request for you to commute to our nearest office for in person engagement activities such as team meetings, training and culture events. To ensure the safety of our colleagues and communities, we require employees who come together in-person to be fully vaccinated. We’re proud to offer you choice and flexibility.

Essential Responsibilities:

• Develop, implement, monitor and provide performance tracking of acquisition fraud strategies that minimize SYF and client’s fraud risk
• Complete required strategy documentation and meet audit standard
• Work closely with implementation team to ensure strategy is implemented correctly through pre and post implementation validation
• Drive enhanced strategy using champion/challenger learnings to reduce fraud and improve customer experience
• Support new clients onboarding, evaluate and provide recommendation on new tools and process
• Proactively research and identify areas of opportunity for improvement, work closely with the Fraud Operations team to identify recent fraud patterns, trends and rings associated with all SYF Credit portfolios.
• Perform model validations and ensure strategy governance
• Provide direction and support to other team members including mentorship
• Coordinate and communicate on a frequent basis with cross-functional team members
• Meet assigned deadlines and perform tasks as assigned
• Provide thought leadership in various initiatives/projects
• Work on a number of different projects simultaneously, of varying complexity and length. Establishing priorities and coordinating work
• Proactively manage efforts to maintain stakeholder satisfaction, and quantify project benefits delivered

Qualifications/Requirements:

• Masters or Ph.D. in Mathematics/Statistics, Operations Research, Economics, Computer Science/Engineering or other quantitative majors or Bachelors degree with 4+ years of experience in Analytics domain or in lieu of a degree, 6+ years of experience in Analytics domain.
• At least 3 years in Consumer Credit / Fraud Analytics environment.
• At least 3 years of experience managing end to end project management
• Deep experience with various Credit/Fraud Risk modeling & strategy building methodologies in a development role.
• Big-picture understanding of Credit Risk & ability to communicate with business and technical stakeholders
• Strong knowledge & hands-on experience of Logistic/Linear Regression CHAID/CART/Clustering techniques, Optimization
• Solid working knowledge of SAS, SQL, Unix, MS Office suite. Knowledge on Python, R would be an added advantage
• Strong written/oral communication skills.
• Shift Timings: 2:00 pm to 11:00 pm IST
• For internal applicants: Understand the criteria or mandatory skills required for the role, before applying.
• Inform your Manager or HRM before applying for any role on Workday.
• Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format)
• Must not be any corrective action plan (First Formal/Final Formal, PIP)
• Employees who have completed 18 months in the Organization and 12 months in current role and level are only eligible.
• Level 08 and above are eligible to apply.

Desired Characteristics:

• Knowledge of R/Python and other open source tools.
• Working knowledge of credit bureaus.
• Work experience in a US financial institution or bank.
• Knowledge of US, Canadian credit bureau data

Grade/Level: 10

Job Family Group:

Credit