AVP, Fraud Strategy Data Analytics – Deposits (L11)

Job Description:

Role Title: AVP, Fraud Strategy Data Analytics – Deposits (L11)

Company Overview:

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #5 among India’s Best Companies to Work for 2023, #21 under LinkedIn Top Companies in India list, and received Top 25 BFSI recognition from Great Place To Work India. We have been ranked Top 5 among India’s Best Workplaces in Diversity, Equity, and Inclusion, and Top 10 among India’s Best Workplaces for Women in 2022.

• We offer 100% Work from Home flexibility for all our Functional employees and provide some of the best-in-class Employee Benefits and Programs catering to work-life balance and overall well-being. In addition to this, we also have Regional Engagement Hubs across India and a co-working space in Bangalore.

Organizational Overview:

Credit Team decisions credit actions across the lifecycle of a customer – from acquisition to account management to collections and recover – we work towards managing credit and fraud losses and elevating customer experience through powerful and proprietary insights on customer risk and credit behaviours. The actionable insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. Spread across 10 pillars the credit team in India caters to the entire gamut of decision sciences, from data management to model development to strategy design, and bringing it all to life through technology, and managing within the guardrails of our regulatory requirements. As part of the team, you will have access to some unique product propositions, functional and leadership training, interaction with executive leadership team and a myriad of diverse perspectives.

Role Summary/Purpose:

As a Consumer Bank (“CB”) Fraud Strategy Data Analyst, you will be integral to our efforts in identifying, analyzing, and preventing fraudulent activities within the bank. You will utilize your analytical skills and knowledge of banking processes to analyze data trends, flag suspicious activities, and contribute to the development of fraud prevention strategies. You will also drive the CB fraud strategy analysis and refinement.

Key Responsibilities:

• Conduct in-depth analysis of transactional and customer data to identify unusual patterns and potentially fraudulent activities.

• Participate in discussions with business partners to define the CB fraud risk appetite. Participate in periodic fraud risk assessments for CB products and services. Assist in developing, implementing, refining, monitoring and providing performance tracking of CB fraud strategies to minimize CB fraud risk. Develop new fraud strategies to mitigate threats posed by emerging fraud trends in the industry.

• Collect, process, and manage large sets of data related to customer transactions and interactions.

• Provide reporting on fraud analytics performance, such as fraud KPI and/or KRI reporting or SLA reporting, to senior management.

• Work closely with US stakeholders,  IT and security teams to implement effective data analysis tools and systems. Provide input and apply analytics expertise to improve CB fraud engine and related controls/tools. Proactively research and identify areas of opportunity for improvement, working closely with the Credit and Fraud Operations team to identify recent fraud patterns, trends, and rings.

• Support deposit model validations, ongoing monitoring reports review, internal audits and regulatory exams.

Required Skills/Knowledge:

• Minimum 6+ years of experience in building analytically derived strategies with in Credit, Marketing, Risk or Collections in Financial services

• Minimum 6 years’ experience with SAS, SQL, or Python programming language

• Minimum 3 years’ experience with Tableau, SAS Visual Analytics, or similar tool

Desired Skills/Knowledge:

• Excellent communication skills and experience with interacting successfully at all levels within the organization.

• Familiarity with data lake technologies and programming languages (Hadoop, Python, Hive, etc.) is a plus.

• Experience developing fraud strategies for consumer bank

• Project management skills

• Experience working with cross-functional teams, particularly with credit/risk

Eligibility Criteria:

Bachelor’s degree with 6+ years of experience in building analytically derived strategies within Credit Risk Management in Financial services or Consumer Bank Deposits portfolio, or in lieu of a degree 8+ years of experience in building analytically derived strategies within Credit Risk Management in Financial services or Consumer Bank Deposits portfolio.

Work Timings:

This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. 

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying

• Inform your manager and 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 (Formal/Final Formal) or PIP

• L9+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible.

• L9+ employees are eligible to apply.

Grade/Level: 11

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