AVP, Credit Model Development(L10)

Job Description:

Role Title: AVP, Credit Model Development
 

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 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:

A critical new role AVP, Credit Model Development, will be responsible for developing credit models and data governance to support credit loss forecasting models per relevant regulatory guidance (SR 11-7 / OCC 2011-12, CECL, CCAR, , DFAST). This is an individual contributor role and requires demonstrated expertise with data mining and statistical analysis, well as programming skills (Python/Pandas, Spark, Hadoop, SQL, SAS and equivalent advanced softwares / platforms). This successful candidate will use their business analysis, process, and quantitative knowledge to manage multiple initiatives to deliver results within deadlines and with a focus on accuracy and attention to detail. In addition to responsibilities on individual modeling projects this role will be expected to work on ad-hoc projects as needed. Communicating these to leadership is essential. This is a great opportunity for a statistician/data analyst/programmer with experience in consumer credit analysis. We offer a dynamic, collaborative team environment with a strong credit risk management culture.

Key Responsibilities:

• Design and develop consumer credit statistical / econometric models to support production
• Loss Forecasting, Reserves (CECL), and Stress Testing processes using SAS/Python or R
• In collaboration with the on-shore team
• Monitor critical data used in credit loss forecasting models to ensure data quality using SAS/SQL/Python in   collaboration with the on-shore team
• Proactively detect data abnormalities and communicate to relevant parties in a timely manner.
• Perform pre-implementation and post-implementation validation for various data change proposed by data warehouse owner or model developed team to ensure the impact is accurately assessed, the change is as expected, the implementation is successful.
• Perform in depth analysis on large data sets and prepare analysis and reports to support discussions on key analytics and model risks.
• Support building and enhancing data governance procedures and documentation in compliance with regulatory guidance as well as the Bank's model risk policy.
• Support implementation and monitoring of credit loss forecasting models with good data quality.
• Proactively manage strong working relationships to maintain on-shore stakeholder satisfaction.
• Assist in analyzing the current and future model landscape, technologies, data frameworks and implementation platforms in line with internal as well as industry best practices
• Support data science initiatives / proof of concept in soling business issues through data mining / utilizing new data sources including dark data
• Maintain current/develop new analytical reports and presentations for senior management, executive committees and regulatory exams
• Perform other duties and/or special projects as assigned.

​Required Skills/Knowledge:

• Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 4+years' experience in an analytical/quantitative role related to consumer lending or in lieu of a degree 6 + years' of relevant experience in an analytical/quantitative role related to consumer lending
• Technical Skills : Credit card modeling/analytics experience
• Proven hands-on experience utilizing SAS or SQL data mining skills as well as opensource
• Tools such as R and Python.
• Advanced analytics using Excel/BA, strong PowerPoint and documentation skills
• Ability to manage multiple competing initiatives and deliver results within deadlines and with a focus on accuracy and attention to detail
• Client management and teamwork skills: Strong partnership skills and experience (at least2-4 years) managing relationships across multiple teams of people
• Communication and influence skills: Excellent communication and influencing skills to coordinate with multiple  functional areas
• Documentation skills: Demonstrated ability in documenting controls and procedures

Desired Skills/Knowledge:

• Problem solving skills: Strong ability to rapidly learn the intricacies of an unfamiliar process, structure and scope   complex problems, apply a range of analytical tools, gain and synthesize insights, and develop actionable  recommendations
• Experience in building/reviewing champion/challenger credit and risk models for consumer loss forecasting
• Comfort with Data and Technology: Prior experience functioning in roles and functions that are highly data-driven   and require understanding of data models, process flows, and technology architecture as related to business requirements, including comfort interacting with internal technology teams
• Knowledge of external environment, industry/competitor profiles, and common macroeconomic indicators and correlations

Eligibility Criteria:

Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 4+years' experience in an analytical/quantitative role related to consumer lending or in lieu of a degree 6+ years' of relevant experience in an analytical/quantitative role related to consumer lending

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 criterion 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 corrective / Final formal , PIP )

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

• L08+ Employees can apply

Grade/Level: 10

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