Credit Strategy Data Scientist
Posted: 6 days ago
Job Description
1-year fulltime remote contractWe are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain.Key Job FunctionsDesign rules to detect/mitigate lossInvestigate novel/large casesIdentify root causeSet strategy for different risk typesWork with product/engineering to improvement control capabilitiesDevelop and present strategies and guide executionDrive results that maximize eligible customers while controlling lossesExpected Outcome in 6-12 months:Development of dashboard and visualizations to track KPI of credit strategies implementedWork closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers.Utilize data analysis to design and implement credit strategiesAnalyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patternsCollaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers.Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.MUST HAVE:Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry.Experience using statistics and data science to solve complex business problems.Proficiency in SQL, Python, Excel including key data science libraries.Experience working with large datasets.Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau.Desirable to have experience or aptitude solving problems related to risk using data science and analytics.Experience with AWS, payment rule systems, and knowledge of credit products.Preferred Skills:Data analyticsRule developmentDashboard CreationProject ManagementStrong Communication
Job Application Tips
- Tailor your resume to highlight relevant experience for this position
- Write a compelling cover letter that addresses the specific requirements
- Research the company culture and values before applying
- Prepare examples of your work that demonstrate your skills
- Follow up on your application after a reasonable time period