Wise
Job ID · 23732

Analytics Senior Manager - Ris · Hyderabad

Wise · Wise

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Job highlights

Designation Offered

Analytics Senior Manager - Ris

Job Role

Analytics Manager

Department

AI, ML and Data Analytics

Job Type

Fulltime

Salary

Not disclosed

Experience

3–6 years

Job Location

Hyderabad

Education

Bachelor's Degree

Posted by

Wise

Posted On

20 Aug 2026

Valid until

19 Oct 2026

Skillset required

Customer ExperienceSQLNetworkUser ExperienceStatistics

Job Description for Analytics Senior Manager - Ris

A role-focused description with responsibilities, expectations, and qualifications for this opening.

AI, ML and Data Analytics

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.


Job Description

We’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 mission:

At 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

Qualifications

A bit about you:

  • You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area
  • You have experience in financial crime domain (typologies and alert investigations) balancing risk and customer experience
  • You have 5+ years of experience in data analytics (in financial crime or risk analytics) and 2+ years leading others (can be overlapping)
  • You have experience with SQL and Python/R
  • You have strong communication skills and an ability to translate business problems into analytical solutions
  • You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand data models
  • Hustler-mentality. You can take work beyond the analysis and get things done
  • You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data

Some extra skills that are great (but not essential):

  • Experience with user-facing products and data
  • Machine learning experience
  • Knowledge of regulations, sanctions compliance, and financial crime frameworks
  • Knowledge of regulatory reporting requirements and compliance standards
  • Knowledge of A/B testing

    Additional Information

    For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

    We're proud to have a truly international team, and we celebrate our differences.
    Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

    If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

    Keep up to date with life at Wise by following us on LinkedIn and Instagram.

    About this opening

    Wise is hiring a Analytics Manager in the AI, ML and Data Analytics team based in Hyderabad.

    This role is fulltime, flexible, 3–6 years experience—matched against UnoJobs' verified employer data.

    Skills evaluated for this opening include Customer Experience, SQL, Network, User Experience, Statistics. Apply directly through UnoJobs to keep your application visible to Wise without bouncing across multiple sites.

    Role
    Analytics Manager
    Department
    AI, ML and Data Analytics
    Location
    Hyderabad
    Work mode
    Flexible
    Experience
    3–6 years

    Common questions about this Analytics Senior Manager - Ris role

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    What tools do Hyderabad data analyst jobs usually require?
    Analytics Senior Manager - Ris listings in Hyderabad often mention Excel, SQL, Python, Power BI, or Tableau. This posting's skills section above is the best signal for what Wise expects on day one.
    Are fresher data analyst jobs available in Hyderabad?
    Some Hyderabad data analyst roles accept freshers; this listing shows 3–6 years in the highlights. Filter fresher-friendly openings on UnoJobs Hyderabad hubs.
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