AVP, Credit Data Management (L10)
Hyderabad IN, India
Synchrony
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Role Title: AVP, Risk Data Governance (L10)
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 #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.
Synchrony celebrates ~52% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members.
We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.
We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.
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 behaviors. 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:
AVP, Risk Data Governance L10, supports credit initiatives related to Risk Data Governance (RDG) including data aggregation, architecture, data analysis, data usage. This individual will serve as a key contributor and co-lead monthly load processes, new product integrations, new data sources from a point of view of credit reporting & modeling business owner.
Key Responsibilities:
Work closely with the 1st line business teams including Information Technology, Marketing, Credit Risk and Operations to improve and validate accuracy of existing RDG fields, through the independent research of data issues, data design logic and user acceptance tests (UAT).
Assist in the onboarding of new data sources into risk aggregation data platform. Analyze differences in data, suggest data logic & mapping changes to standardize and cleanse onboarding data sources and execute user acceptance tests for new data.
Run and continuously improve risk aggregation data platform, monthly load validation process and visualization reports.
Support new product integration into risk aggregation data platform and converting business requirements into new reporting data fields through helping with design and testing.
Required Skills/Knowledge:
Bachelor’s degree with a quantitative underpinning and 3+ years of work experience in data base management, data governance, analytics or in a techno-functional role or in lieu of a degree 5+ years of relevant experience
2+ years of experience: SAS or SQL
Working experience in Python, Willingness to learn and expand Python skills for data management.
Experience with Tableau
Strong communication skills, written and verbal, in a clear, concise manner
Excellent interpersonal, organizational, prioritization, time management skills
Ability to drive decisions based on quantitative analysis and creative thinking.
Desired Skills/Knowledge:
Curious investigative mindset for data and its relationship to business, reporting, financial modeling.
Previous experience with business intelligence/data warehousing/visualization platforms (either project management implementation or coding or both).
Understanding Agile project management methods.
Self-starter character with organizational and analytical skills.
Experience with Ab Initio ETL is a plus
Eligibility Criteria: Bachelor's degree with quantitative underpinning (i.e., Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) with 3+ years of experience in Analytics ideally in support of Risk, Credit, Consumer Lending, or other relevant professional experience
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)
L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible.
L8+ Employees can apply.
Level / Grade : 8
Job Family Group:
Credit* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Business Intelligence Computer Science Credit risk CX Data analysis Data governance Data management Data Warehousing Economics Engineering ETL Finance Mathematics ML models Python Research SAS SQL Statistics Tableau Testing
Perks/benefits: Career development Flex hours Health care Wellness
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