Merchant Risk Manager (L 09)
This role is responsible for developing and managing best-in-class analytic solutions or algorithms for Payment solutions Portfolio to detect high risk merchants and provide recommendations to the business to mitigate credit and fraud risks. This role requires a person to proactively identify the opportunities to
enhance analytical capabilities around pre-funding risk, early warning merchant profitability etc.. Successful candidate will have an opportunity to work with cross-functional teams and leverage state of the art tools (viz., SAS, SQL, Tableau and open for any innovative tools).
Dispute Management: Monthly loss and operational risk mitigating process that leverages analytics to detect higher risk merchants and direct the business to respond which mitigate risks. The process drives merchant interventions and/or terminations. Based on the data and intervention outcomes, provide a recommendation to the business to extend the relationship or terminate the relationship.
Expand and automate merchant risk mitigating analytical processes that protect SYF from financial losses. Opportunities to enhance our analytics around pre-funding risk, early warning merchant profitability (i.e. shift to second look position) and merchants that drive high levels of customer confusion which lead to increased fraud claims and costs.
Innovation type analytics to determine if new tools and data types should be added to merchant underwriting and merchant monitoring strategies that mitigates both credit and fraud risks (i.e. currently investigating how dark web intel, public chat forums and the BBB can help mitigate risks).
Monthly merchant dashboard and merchant dispute workups for senior leaders and client risk teams.
Adhoc analytical projects to support Payment solutions Credit initiatives.
Work on multiple projects simultaneously and managing projects independently.
Communicate portfolio trends, insights and findings to Business partners and senior leadership.
Degree in following Majors - Mathematics/Statistics, Operations Research, Economics, Computer Science/Engineering or other quantitative majors
Minimum 5+ years' Consumer Credit experience in Analytics
Proficient in SAS and SQL or other statistical analysis programming languages.
Strong knowledge of SYF's databases.
Organization skills to keep track/manage merchant level termination decisions.
Strong Team Player in cross-functional environment and excellent problem-solving skills.
Strong written/oral communication skills.
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)
Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.
Level 8+ employees can apply
Knowledge of Salesforce.