AVP, Credit Forecasting & Analytics Lead (L10)

Job ID: 2600004

Job Description:

Role Title:  AVP, Credit Forecasting & Analytics Lead (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.

• 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:

Synchrony's Credit group is seeking credit risk analytics professional experienced in detailed consumer credit analytics using complex, large volume, multi-dimensional data. This role is part of Credit Department, supporting the Credit Forecasting & Advanced Analytics function. The role requires demonstrated expertise with data analysis using Python/PySpark, and AWS.

The key focus areas for this role is credit analysis, supporting the US function of Credit Forecasting & Advanced Analytics. This will involve utilizing predictive models, analyzing performance data, drawing analytical linkages with endogenous and exogenous variables to produce actionable analyses. This includes developing, executing and monitoring forecasting frameworks, process automation, and governance aligned with regulatory and internal controls. The objective is to support the credit forecasting and reserves sub-functions in execution of the periodical processes by generating analytical insights, and impactful reporting ensuring accuracy, efficiency, and scalability of execution through advanced analytics.

Key Responsibilities:

• Develop long term loss forecasting across loss types for Synchrony’s portfolio of loans across multiple retailer segments and products

• Support the end-to-end execution of loss forecasting model operations across baseline, stress and Moody’s scenarios with focus on controls, governance and automation using Python, PySpark, SQL.

• Maintain forecasting models incorporating macroeconomic, behavioral and portfolio trends.

• Enhance scalability, accuracy and efficiency by automating forecast generation and scenario comparisons using Python/PySpark.

• Crosstrain in other critical Credit Forecasting & Advanced Analytics functions to provide back-up and support as needed during peak times

• Assist in producing credit inputs to complex modeling processes

• Collaborate with cross functional teams to incorporate performance dynamics, as well as other business changes within the overall forecast

• Assist the Loss forecast process owner, with tasks related to process governance

• Visualize insights, performance, and trends in inputs/outputs for effective communication and decisioning

Required Skills/Knowledge:

• Bachelor's degree with quantitative underpinning (i.e., Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) and 4+ years of experience in Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience Or In lieu of a bachelor’s degree we need 6+ years of experience in Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience.

• 3+ years of experience in performing performance analysis on large and diverse consumer credit portfolios, including experience with data visualization tools to create and communicate intuitive visualizations and presentations of in-depth analysis to audiences of varying subject-matter knowledge, experience, and seniority

• Knowledge of regulatory expectation about Model Risk Management (SR 11-7) 

• Proven hands-on experience utilizing Python/PySpark, SQL and AWS

• Strong problem-solving, analytical and automation skills.

• Strong understanding of controls, governance, and regulatory requirements in risk models.

• Advanced Excel skills with demonstrable familiarity with data processing/report building/analysis techniques.

• Strong PowerPoint skills, including ability to create understandable presentations that incorporate graphs or other visual aides to portray complex subjects.

Desired Skills/Knowledge:

• Good overall understanding of consumer credit lending that stretches across revenue and loss line items, with a focus on revolving products (Credit Cards preferred)

• Excellent time management with ability to manage multiple competing initiatives and deliver results within deadlines with accuracy and attention to detail

• Experience with processes that have significant financial impacts and stretch across multiple teams or functions

• Hands-on experience utilizing SAS will be an added advantage.

• Strong written and verbal communication skills, to independently present explanations of complex subjects

• Positive mindset under tight timelines / critical deliverables

Eligibility Criteria:

Bachelor's degree with quantitative underpinning (i.e., Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) and 4+ years of experience in Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience Or In lieu of a bachelor’s degree we need 6+ years of experience in Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience.

Work Timings: 3:30 AM to 12:30 PM EST

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 (First Formal/Final Formal, LPP)

• L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.

• L8+ Employees can apply

Grade/Level: 10

Job Family Group:

Credit