Senior Risk Analyst
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Key skills for this role
About the Role
Prepare datasets for risk analysis, enhance assessment frameworks, develop fraud prevention strategies, and mentor junior analysts with strong SQL and Python skills.
Key Skills for This Role
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Overview
- 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
- 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
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