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Job Description:

Role Title: Senior Analyst, Data Science (L08)

• 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.

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.

Sr. Analyst – Data science role is a part Credit . Our team comprises of data analysts who focus on improving best fraud/account management/credit/ collection process experience etc. and growth by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives.

The candidate would be part of the Credit -Model Development team providing valuable expertise in application/solution development for analytics use cases enabling Synchrony’s growth and profitability. The candidate must be passionate about data products, analytics solutions and applications, keen on learning new technologies. The role will require working/coordinating with the project manager/stakeholders. This position is remote, where you have the option to work from home

• Analyze and explore datasets to find opportunities for fraud / credit/ Marketing models through data analytics.

• Support the development of the Analytics Platform initiative

• Solve business problem with Statistical, Machine Learning technics.

• Responsible for delivery of various engagements of model development, documentation, validation, testing, monitoring and other organization wide initiatives.

• Support the model risk management process including model validation, response to independent review questions and assisting in the development of action plans to address model governance/validation findings.

• Bachelor degree in Statistics, Economics, Mathematics, or another quantitative field with 0 to 2 years of hands‑on Analytics experience (Distance learning not valid)or in lieu of a degree with 2+ years of hands‑on Analytics experience.

• Prior hands‑on experience in building predictive models (using techniques like logistic, linear regression, decision tree, clustering, Random Forest, XG Boost, Text Mining – Topic Modeling, Sentiment Analysis etc.)

• Strong Programming skills (SQL, SAS/ Python) with 1+ years of analytics work experience

• Excellent oral and written communication skills with ability to collaborate ,articulate and present solutions cutting across functional teams in a simple yet compelling manner undefined

• Exposure to big data programming - Pyspark etc.

• Exposure to predictive tools like H2O, SAS Viya, AWS SageMaker, Bedrock, Alteryx etc.

• Experience in handling large data, creating reports and giving business insights

• Should have good working knowledge in Python/ Java, JavaScript, Java, NodeJS, HTML and MySQL to deliver solutions across JavaScript, python and Java tech stacks

• Bachelor degree in Statistics, Economics, Mathematics, or another quantitative field with 0 to 2 years of hands‑on Analytics experience (Distance learning not valid)or in lieu of a degree with 2+ years of experience.

• Strong Programming skills (SQL, SAS/ Python) with 1+ years of analytics work experience

• 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.

• 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)

• L4 to L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are only eligible.

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

• L4+ employees can apply for this opportunity.

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