Sr Data Scientist
About The Position
Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Work closely with Stakeholders: this includes Credit Risk, Product, finance teams to optimize fraud strategies and portfolio performance. In this role you will have full ownership of portfolio and is responsible for end-to-end management of Fraud loss and decline rates. Works independently and proficiently. Accountable for own results. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines. Analyze and assess risks to provide informed recommendations for mitigation strategies Prepare periodic KPI reports summarizing the business units' risk and control environment for senior management We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.
Requirements
- 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
- Excellent Problem-Solving Skills: Strong judgment and the ability to think strategically, creatively, and practically to address complex challenges.
- Advanced Analytics expertise: Proficiency in SQL, Python, Advanced Excel, Tableau, and other analytics tools, with a proven track record of using them to solve real-world problems.
- Exceptional communication skills: Outstanding written, verbal communication abilities, capable of translating complex technical concepts into clear, actionable insights for diverse audiences
- Collaboration & Influence: Strong ability to collaborate across teams, build relationships, and drive results through influence and teamwork
Nice To Haves
- Experience in Payments / Transaction risk management / Credit / Fraud Risk is a strong plus.
Responsibilities
- Lead the development and implementation of advanced data science models.
- Collaborate with stakeholders to understand requirements.
- Drive best practices in data science.
- Ensure data quality and integrity in all processes.
- Mentor and guide junior data scientists.
- Stay updated with the latest trends in data science.
- Optimize fraud strategies and portfolio performance.
- End-to-end management of Fraud loss and decline rates.
- Develop strategies for fraud prevention, loss savings, and optimize transaction declines.
- Analyze and assess risks to provide informed recommendations for mitigation strategies
- Prepare periodic KPI reports summarizing the business units' risk and control environment for senior management
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
