Key Responsibilities
- Preparation of datasets to support advanced risk analysis
- Own and continuously enhance risk assessment frameworks, algorithms, and decisioning strategies
- Drive the end-to-end lifecycle of LLM models
- Develop and refine fraud prevention strategies, including rule-based systems and predictive models
- Define, track, and analyze key risk and business KPIs; translate insights into actionable recommendations for senior stakeholders
- Build and maintain automated reporting and monitoring solutions to ensure proactive risk management
- Partner closely with product, engineering, and business teams to embed risk controls into processes and customer journeys
- Mentor junior analysts and contribute to best practices in risk analytics and modeling
Skills, Knowledge & Expertise
- Bachelor’s degree in Mathematics, Computer Science, Statistics, or a related quantitative field (Master’s degree is a plus)
- 4+ years of experience in risk analytics, data analytics, or a similar role within banking or fintech
- Advanced proficiency in SQL and strong hands-on experience with Python
- Experience with data visualization tools such as Tableau or similar platforms
- Deep understanding of statistical analysis, risk modeling, and machine learning techniques
- Strong problem-solving skills with the ability to operate effectively in ambiguous, fast-paced environments
- Demonstrated ability to identify root causes, assess risk implications, and propose scalable solutions
- Fluent English
- A real excitement for what we’re doing here at tabby
Are you interested in this position? Apply by clicking on the “Apply Now” button below!
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