Senior Manager - Fincrime Analytics Wise Hyderabad, IN Data & AI 2d ago check more →

Neobankbeat; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Wise is hiring a Senior Analytics Manager for FinCrime Analytics in Hyderabad. You will partner with product, data science and engineering teams to drive data-driven decisions while strengthening risk controls and customer experience in a fast-growing financial technology environment.

You will lead the analytics function, expose data insights to product teams, and shape metrics that guide quarterly objectives and risk mitigation across Wise’s global payment platforms.

Responsibilities

• Expose vast data to product teams in a meaningful, actionable way so they can access insights with minimal analyst help.
• Own, track and report key metrics for product and operations, ensuring quarterly accountability.
• Support stakeholders by conducting research, preparing reports and visualisations.
• Collaborate with data scientists to detect and mitigate financial crime.
• Build a framework for managing risk and customer experience at scale.
• Drive discovery by scoping opportunities and suggesting features, rules and models to combat emerging risks.
• Lead and develop a team of analysts: set priorities, coach for impact, maintain quality.

Job description

data & ai · Wise# Senior Manager - Fincrime AnalyticsHyderabad, INData & AIOn-siteposted 2d agoWe’re looking for a Senior Analytics manager who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime. At Wise, we strike a critical balance between user experience and the stringent demands of risk prevention. Our mission within the Risk & Controls team in APAC is to stay one step ahead of emerging risk while ensuring that our customers enjoy a seamless experience. In this vital role, you will innovate and implement controls that enhance security without compromising user convenience.Most importantly, you’ll collaborate closely with your product managers, designers, data scientists and engineers to bring your insights into real change for our customers and help drive our mission!### Your missionAt Wise our mission is Money Without Borders - instant, convenient, transparent and eventually free. Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money. Here’s how you’ll be contributing to the Financial Crime team:* You’ll expose the vast data on our processes to the product teams across Wise in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistance* Proactively contribute to, own, create, track key metrics and results for your product and operational teams, keeping them accountable throughout the quarter* Support stakeholders by conducting research, preparing reports, and visualisations* Work with data scientists in understanding and developing the means for detecting and mitigating financial crime* Building the framework for managing risk and customer experience at scale* Drive the discovery phase by scoping new opportunities and suggesting features, rules and models to combat emerging risks* The role requires collaboration with Product, Data Scientists, Engineering and Operations Team### This role will give you the opportunity to* Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money* Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!* Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on.* Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.* Lead and develop a team of 3 analysts: helping them to set priorities, coaching for impact, and maintaining quality standards