Senior Analyst, Model Development
SynchronyAbout the role
Job Description:
Role Summary/Purpose:
This role will be responsible for providing analytical/quantitative input to develop, document, implement and monitor the build of complex consumer credit risk loss forecasting, reserve and capital models. This successful candidate will use their business analysis, process, and quantitative knowledge to ensure business intent is matched with modeling outcome, and document development decisions under SR11‐7 guidelines. 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 modeler/statistician/data analyst/programmer with experience in consumer credit analysis. We offer a dynamic, collaborative team environment with a strong credit risk management culture.
Our Way of Working
We’re proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.
Essential Responsibilities:
Serve as a key contributor and lead analyst supporting model development for various models (ALLL, Loss Forecasting, Stress Testing, Capital Planning and CECL)
Perform in depth analysis on large data sets, and prepare analysis and reports to support discussions on key analytics and model risks
Support development, documentation, implementation and monitoring of ALLL and capital stress testing models using SAS/Python or R
Work closely within the credit organization to validate accuracy and performance of statistical models and to identify issues requiring further investigation
Assist in development/understanding of vendor models to ensure accuracy and relevancy
Provide independent research and analysis to support conceptual soundness of key models
Liaise with the Synchrony Financial business teams to uncover and highlight model risk associated with models
Keep pace with the latest developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industries to embrace change and drive improvements cross-functionally.
Perform other duties and/or special projects as assigned
Qualifications/Requirements:
Masters or Ph.D. in Mathematics/Statistics, Operations Research, Economics, Finance or other quantitative discipline
5+ years of experience in Consumer Lending statistical modeling/risk analytics, preferably related to credit cards
3+ years in coding with SAS, Python, R or other equivalent tool within the recent 5 years
Strong written/oral communication skills
Desired Characteristics:
Utilizing modeling techniques supporting one (or more) of the following: ALLL, Loss Forecasting Capital Planning, Stress Testing (DFAST,CCAR)
Working knowledge in big data tools such as Hadoop HIVE, PIG or Apache Spark as plus
The application of regulatory requirements for Model Development (e.g. SR 11-7/OCC 2011-12)
Ability to work in a matrix organization
Understanding of macro-economic conditions & competitor’s trends
Exposure to R, Python & Tableau
Grade/Level: 09
The salary range for this position is 85,000.00 - 140,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.
Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.
Salaries are adjusted according to market in CA, NY Metro and Seattle.
Eligibility Requirements:
You must be 18 years or older
You must have a high school diploma or equivalent
You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in
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