AVP, Portfolio Analytics & Product Optimization(L11)

Job Description:

​Role Title: AVP, Portfolio Analytics & Product Optimization (L11)

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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 recovery – 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:

AVP, Portfolio Analytics & Product Optimization (Individual contributor) will be responsible to provide end to end analytical support and solutions to PCMs and will also be responsible for providing analytics across key SYF new products and understanding consumer insights and behaviors to optimize SYF product offering strategy. The role involves taking a holistic approach to pulling together “off-us” behavioral characteristics, consumer behavior, credit performance and partner & consumer pricing to ensure we are offering the correct set of products to individual consumers. The position will play a central role in developing data driven product optimization and offering decisioning process helping accomplish our long term strategy of maximizing conversion, penetration, and share of wallet through the introduction of new products. The right candidate for this position will partner with internal functional  stakeholders across functions, including Product, Analytics, Credit, Finance, Client teams, and others as needed. The right candidate for this position will be mining datasets to help drive product optimization strategies and recommendations including the utilization of statistical modelling, a variety of analytical techniques and advanced visualization for complex business and technical needs. The position reports into VP, Portfolio Credit Analytics within India Credit Organization. 

Key Responsibilities:

• Partnering with various PCMs to understand analytic needs and provide insight and recommendations to support portfolio growth and loss mitigation.

• Ability to solve business problems independently, coordinate and lead credit tasks in cross functional projects.

• Identify the key trends associated with Portfolios using advanced analytics and help the business to deploy necessary strategies to mitigate credit losses.

• Lead the development & maintenance of a decision management and analytical optimization framework to drive product strategy targeting in order to increase penetration, customer engagement and overall profitability.

• Partner with Finance and Client teams to create product P&L performance tool considering product terms and merchant deals idiosyncrasies.

• Develop enterprise product optimization analytics dashboards across new SYF products.

• Perform and provide all aspects of analytics for new products implementation programs, accounting for customer experience, conversion, sales, credit and financial performance, payment rates,  product cannibalization, product terms, client proformas, etc.

• Create a product testing strategy, data and analytical visualization tools to read results, learn, improve and repeat.

• Demonstrate thought leadership by providing critical insights, make recommendations and execute roadmap.

• Partner with Product organization and implementation teams to understand product distribution platforms, existing product offerings, customer populations and new product roadmap.

• Analyze and explore datasets in order to find opportunities for product optimization innovation through data analytics.

• Apply diverse analytical methods and statistical modeling techniques in order to enable state of art analytical decisioning framework.

• Establish test and control strategies and create metrics to measure/track performance of those strategies.

• Develop dashboards utilization visualization tools as needed.

• Work on multiple projects simultaneously and Manage projects independently.

• Coach analysts in various business/technical aspects, establishing priorities and coordinating work.

• Investigate and resolve various customer and client issues.

• Perform other duties, as necessary.

Required Skills/Knowledge:

• Bachelor's degree with quantitative underpinning (i.e., Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) with 5+ years of experience in consumer and/or commercial Credit/Risk, or Analytics role. OR in lieu of a degree, 7+ years of experience in Programming/Analytics ideally in support of Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience.

• 5+ years using statistical analysis tools such as SAS, R, Python to perform data mining and complex statistical analyses.

• 3+ years leading large-scale analytics projects.

• Ability to work with large or complex datasets.

• Strong PC proficiency (Microsoft Suite, including: Word, Excel and PowerPoint).

• Provide guidance to analysts as needed.

• Strong self-starter balanced with desire to achieve team goals.

• Ability to handle sensitive issues with uncompromising integrity and confidentiality.

Desired Skills/Knowledge:

• Knowledge of card industry P&L, drivers and assumptions

• 5+ years demonstrated success developing and delivering analytics solutions.

• Understanding of credit risk performance, targeting and segmentation, retail analytic tools and advanced skills using Excel and PowerPoint strongly preferred.

• Excellent communication and  presentation skills with experience interacting with all levels of the organization including explaining complex data clear and concisely.

• Experience developing, testing, documenting and maintaining standardized outcome metrics meeting diverse client needs and delivering via regular data dashboards to reflect business performance.

• Experience justifying assumptions/inputs and explaining financial models and recommending strategies to varied stakeholder groups.

• Project management, communications, multi-tasking, ability to work independently, relationship management skills are keys to success.

• Demonstrated ability to apply strategic thinking toward tactical execution.

• Experience working with cross-functional teams.

Eligibility Criteria:

Bachelor's degree with quantitative underpinning (i.e., Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) with 5+ years of experience in consumer and/or commercial Credit/Risk, or Analytics role. OR in lieu of a degree, 7+ years of experience in Programming/Analytics ideally in support of Risk, Credit, Finance, Accounting, 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)

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

• Employees at L9+ can apply for this opportunity.

Grade/Level: 11

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