3 Days Left: Avp, Collections Segmentation(l10)

Role Title AVP Collections Segmentation L10 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 2024 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 best-in-class Employee Benefits and Programs catering to work-life balance and overall wellbeing In addition to this we also have Regional Engagement Hubs across India and a co-working space in Bangalore Organizational Overview Credit Team decisions credit actions across the lifecycle of a customer - from acquisition to account management to collections and recovery - 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 Role Summary Purpose The role of AVP Collections Segmentation will be responsible for developing delivering and monitoring statistical segmentations and related strategies for traditional and alternative contact channels using advanced analytics and predictive statistical tools The AVP is a thought leader in the team initiating and leading initiatives as well as projects working directly with stakeholders throughout the process from initial discussions to presenting findings and results and consulting on execution This is a key role in the success of the department and will partner cross functionally to help drive the team s vision Key Responsibilities Develop statistical segmentations to prioritize accounts for contact strategies channel assignment value based offers etc Evaluate performance of existing segmentationsUse optimization techniques to help maximize impact of segmentation strategiesAssess attributes from internal data sources partners and external data sources to determine if the new attributes are incrementally predictive vs champion segmentationWork independently manage and complete key initiatives and projects under tight deadlinesAbility to provide analytical support including pulling data preparing analysis interpreting data making strategic recommendations and presenting to various audiencesTrack results of segmentation strategies and foster a test and learn culture through ongoing performance assessmentPartner with Strategy Delivery Process teams and Operations to ensure strategies are working correctlyParticipate in ad-hoc projects and analyses as neededPerform other duties and or special projects as assignedThis role is an excellent learning and development opportunity for high performing analysts who want to prepare themselves to lead analytical teamsRequired Skills Knowledge Bachelors degree with quantitative underpinning i e Data Science Computer Science Risk Accounting Business Economics Finance Mathematics Statistics Engineering with 4 years of experience in Programming Analytics ideally in support of Risk Credit Finance Accounting Consumer Lending or other relevant professional experience OR in lieu of a degree 6 years of experience in Programming Analytics ideally in support of Risk Credit Finance Accounting Consumer Lending or other relevant professional experience 4 years of experience in data analytics to support strategic decisions4 years of experience of advanced SQL SAS Data mining and E-Miner similar decision tree software4 years experience and expertise working in Microsoft Office Suite Word Excel PowerPoint Prior Credit Risk Management or Collection Strategy experienceAbility to work with large or complex datasetsExperience with segmentation techniques such as decision trees or k-means clusteringStrong PC proficiencyDesired Skills Knowledge Master s degree in Business or in a Quantitative related fieldProven analytical and decision-making skillsExperience with model development techniques such as linear regression logistic regression random forest etc Familiarity with data lake technologies and programming languages Hadoop Python Hive etc is a plus Strong communications problem solving skills attention to detailDemonstrated ability to apply strategic thinking toward tactical executionExperience working with cross-functional project teamsWork 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 criteria or mandatory skills required for the role before applying Inform your Manager or 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 PIP L8 Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible L8 Employees are eligible to applyGrade Level 10Job Family Group CreditJob Family Group Credit