AVP - Advanced Insights & Analytics

Synchrony • Canton, OH

41d • Hybrid

About The Position

Role Summary/Purpose: The AVP - Advanced Insights & Analytics will use advanced analytical algorithms to analyze large datasets consisting of both structure and unstructured data to obtain actionable insights. The will support Global Operations including Servicing, Collections & Recovery, Fraud, and other areas as required. They will be expected to partner with leaders across operations to identify potential opportunities, IT for solution development and deployment on prem or in AWS, and with other analytical teams to design and implement data pipelines. Specifically, they will Develop and test hypotheses. Leverage advanced descriptive & predictive analytics to gain actionable insights. Build Machine Learning and Deep Learning solutions aimed at solving complex problems involving unstructured and semi-structured data. Prototype solutions on AWS. Estimate economic impact. Leverage storytelling to create compelling recommendations. Compare and contrast predicted and actual performance. The incumbent would need to foster a culture that aligns with Synchrony's values and purpose. This role will assist in building a team consisting of driven and resilient analysts over time, who are not afraid to experiment responsibly. Analytics projects will include, but shall not necessarily be limited to: Identifying and analyzing drivers of Servicing performance Leveraging advanced analytical techniques to build unique solutions that improve agent experience or improve business outcome Leveraging time series techniques to understand historical performance and predict future outcome. Developing and testing what-if scenarios The successful candidate must be intellectually curious, proactive, collaborative, driven, and communicative. The successful candidate will be key in furthering the use of analytics techniques and storytelling within the team. 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.

Requirements

• Bachelor's degree in advanced analytics/machine learning, mathematics, or computer science; OR in lieu of Bachelor's degree, high school diploma and 10+ years of relevant work experience
• 8+ years of analytics experience, including extracting/summarizing data, analyzing data to understand hidden patterns, visualizing data, and communicating the outcome to business leaders using storytelling techniques.
• 5+ years of experience with any analytical tool (e.g., Python / R / MATLAB, PyTorch or TensorFlow + Keras, SageMaker AI, etc.).
• Experience with Cloud Computing, preferably AWS.
• Experience working in the Financial Services or related industry.
• Experience in querying and analyzing larger datalake /data warehouses / SQL Server / Oracle DB.
• 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.
• N ew 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 position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post.
• All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).
• Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

Nice To Haves

• Master's degree in advanced analytics/machine learning, mathematics, or computer science strongly preferred.
• 7+ years of demonstrated success in developing and delivering analytics solutions.
• Capable and influential in delivering compelling data-driven solutions; capable of being proactive around the same and not just reactive.
• Ability to propose alternative data options; recommend, drive, and implement the most efficient solutions.
• Previous experience in retail finance or financial services; special consideration for domain knowledge of SYF Collections processes and procedures, especially outbound operations and inbound servicing, including the application landscape supporting said operations.
• Experience working with large amounts of data.
• Proven analytical and decision-making skills.

Responsibilities

• Champion Customers: Develop in depth data solutions that provide key business insights. Leverage data analytics to derive insights from customer behavior, customer experience and associate metrics to drive business actions
• Relate and Inspire: Collaborate with process owners across different teams in Servicing on analytical projects. Incorporate new data elements, sources and channels to help promote efficient and effective strategies and customer contact preferences
• Elevate Every Day : Execute projects under aggressive deadlines with limited guidance and direction from management.
• Act as Owners: Prepare and deliver presentations summarizing findings and recommendations; demonstrate an ability to communicate the same in technical and layman terms. Support loss/cost and sizing estimations to enable prioritization and demonstrate business benefit. Provide thought leadership, strategic and analytic support to the group through the utilization of data mining skills and business knowledge. Conduct ad-hoc analyses and reporting as needed. Develop process controls and produce documentation, as needed. Perform other duties and/or special projects as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level