Job Views:  
560
Applications:  122
Recruiter Actions:  0

Posted in

Consulting

Job Code

1337544

Role Title: Manager - Model Risk (L9)


Company Overview:


COMPANY OVERVIEW: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industrys 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 #5 among Indias Best Companies to Work for 2023, #21 under LinkedIn Top Companies in India list, and received Top 25 BFSI recognition from Great Place To Work India. We have been ranked Top 5 among Indias Best Workplaces in Diversity, Equity, and Inclusion, and Top 10 among Indias Best Workplaces for Women in 2022.


- We offer 100% Work from Home flexibility for all our Functional employees and provide some of the bestin-class Employee Benefits and Programs catering to work-life balance and overall well-being. In addition to this, we also have Regional Engagement Hubs across India and a co working space in Bangalore.


Organizational Overview:


Synchrony's Risk Team is a dynamic and innovative team dedicated to provide oversight as 2nd Line of Defense.


As a member of this Team, you'll play a pivotal role for high quality model validation and to ensure modeling techniques and results are consistent with the respective strategic uses, models performing as intended, and complying with related MRM policies, standards, procedures as well as regulations. This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. If you are passionate about Model validation and Modelling techniques then Synchronys Risk team is the place to be.


Role Summary/Purpose:


- Support model validation initiatives related to statistical and ML modeling with the Synchrony Model Risk Management team.


Key Responsibilities:


- Validate the soundness, accuracy and performance of statistical and ML models and identify issues requiring further investigation


- Perform in-depth analysis of large data sets and assist in the review and maintenance of relevant model and model validation documentation;


- Prepare reports for management and business teams and facilitate discussions on key analytics;


- Perform other duties and/or special projects as assigned


Required Skills/Knowledge:


- Bachelor's/PG degree equivalent in Statistics, Mathematics, Economics or related quantitative field with 2 to 5 years of overall experience, or in lieu of a degree 4 to 7 years of overall experience


- Minimum 1 year of work related experience in a risk analytics position


- Minimum 1+ years of experience with statistical tools like SAS, Python, SQL, etc.


- Minimum 1+ years of experience using large data sets for statistical and ML modeling


Desired Skills/Knowledge:


- 2+ years of work related experience in risk analytics/statistical modeling within the banking or financial industry.


- 2+ years of hands-on modeling experience in customer facing models , such as credit, fraud, marketing, etc


Eligibility Criteria:


- Bachelor's/PG degree equivalent in Statistics, Mathematics, Economics or related quantitative field with 2 to 5 years of overall experience, or in lieu of a degree 4 to 7 years of overall 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.

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Job Views:  
560
Applications:  122
Recruiter Actions:  0

Posted in

Consulting

Job Code

1337544

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