Analyst - KYC Analytics

• 0-4 years of relevant experience in analytical domain.
• Intellectual curiosity, attention to detail ability to learn quickly and drive results.
• Ability to drive insights from data, manage multiple projects and drive results in a fast-paced environment.
• Strong collaboration skills with ability to build relationships and challenge the status quo.
• Excellent business writing and presentation skills with the ability to communicate effectively, build relationships and influence at all levels.
• Technical Skills: Familiarity with Google Big Query, SQL, Python, Lumi, PySpark and Tableau.
• Experience in risk operations, or merchant business preferred.
• Experience in Machine Learning/ Cloud / Gen AI is a plus.

• Bachelors in Statistics / Mathematics / Economics / Engineering/Data Science with relevant experience.
• Post Graduation in Statistics/Mathematics/ Economics / Engineering / Management is a plus.

• Develop and apply analytical frameworks to address business problems focused on financial crime and risk mitigation, using a consultative mindset.
• Analyze large, complex datasets to identify trends, measure performance, and translate findings into actionable insights that inform business risk and control strategy.
• Partner with business, product and analytics teams to share learnings and enable data-driven decision-making across markets and functions.
• Contribute to the automation and scaling of data creation and reporting processes to improve efficiency, accuracy, and speed to market.
• Explore and apply advanced analytics techniques and tools, including GenAI, and leverage secondary research to enhance insight generation.
• Support adherence to enterprise data governance standards, ensuring data integrity, consistency, and responsible analytics practices.
• Provide analytical support for strategic initiatives and ad-hoc projects aligned with GMNS priorities.

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