01Overview
JOB_POSTING-3-69438-2Job DescriptionRole Title: Senior Analyst, Internal Audit - Data Scientist (L09)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 #2 among Indias Best Companies to Work for by Great Place to Work. We were among the Top 50 Indias 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 Ambition Box 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: Synchronys Internal Audit function serves as an independent and objective function aimed at enhancing the organizations governance, risk management, and controls. Internal Audits purpose-driven work adds value to the company by safeguarding a controlled foundation in support of agile and innovative company growth; performing risk-based audit activities designed to identify worthwhile and impactful insights.Role Summary/Purpose: Reporting to the VP, Internal Audit - Innovation and Advanced Analytics leader, the Sr. Analyst Data Scientist will be a key member of the Internal Audit Innovation team. This role involves performing data science and data engineering development across the Internal Audit department. The Sr. Analyst Data Scientist will create advance analytics solutions to enhance decision-making processes within internal audit and provide robust data analytics support to audit teams. This position is pivotal in creating innovative solutions that improve audit efficiency, automate processes, and generate actionable insights. The Sr. Analyst Data Scientist will work closely with audit professionals and stakeholders to identify data-driven opportunities, build scalable analytics solutions, and drive continuous improvement in audit practices.This position is remote, where you have the option to work from home. On occasion we may request for you to commute to our nearest office for in person engagement activities such as team meetings, training and culture events. Were proud to offer you choice and flexibility.Key ResponsibilitiesData Driven Risk Identification & Remediation Strategies:Deliver advanced analytics to support the audit plan, including cycle audits, issue validation, remediation activities and special projectsDesign and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders.Document analytic results and findings into audit workpapers.Data Transformation & Automation:Ensure the accuracy and integrity of data used in audit engagements through data transformation techniques.Deploy automation on repetitive audit tasks using data analytics and data engineering techniques.Collaboration with Stakeholders:Collaborate with Internal Audit teams to understand audit test objectives and data requirements.Collaborate with remediation teams to ensure data insights are effectively integrated into action plans.Lead projects from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations.Required Skills/KnowledgeBachelors degree in Engineering, Computer science, Data science and even accounts background can be consider with experience with minimum 3 years of experience writing and optimizing SQL/SAS queries in a business environment and in lieu of a degree 5 years of experience writing and optimizing SQL/SAS queries in a business environment.Knowledge of data warehouse technical architecture, ETL and analytic tools in extracting unstructured and structured dataExperience in building algorithms and coding proficiency in Python is requiredExperience with visualization software Tableau or Power BIExperience managing, moving, and manipulating data from multiple sourcesFamiliar with segmentation techniques such as decision trees or k-means clusteringFamiliar with model development techniques such as logistic regression, random forest, or gradient boostingAbility to provide analytic support including pulling data, preparing analysis, interpreting data, making strategic recommendations, and presenting to client/product teamAbility to clearly explain technical and analytical information (verbally, written, and in .
