W

Wise

Low-cost international money transfers with API

Lead Analyst - AML Risk

Data AnalysisPosted on Nov 11
Full-timeHyderabad, Telangana, India₹6.8M - ₹8.8M /yrIn-person

About the Job

Requirements

  • At least 8 years of analytics experience in embedded teams, including experience in financial crime, anti-money laundering, fraud, risk, or compliance analytics; experience covering one or more APAC markets is ideal.
  • Strong quantitative skills and a background in statistics, mathematics, physics, engineering, or another scientific area.
  • Experience with SQL and Python.
  • Strong communication skills and the ability to translate business problems into analytical solutions.
  • Ability to structure business problems with minimal supervision, prioritize problems independently, and condense complex systems or ideas into simple-to-understand models.
  • Experience with data visualization tools such as Looker, Power BI, or Tableau, and the ability to tell stories with data.
  • Ability to take work beyond analysis and deliver results.

Responsibilities

  • Expose process data to product teams in a meaningful, actionable way so they can proactively access information without friction or analyst assistance.
  • Contribute to, own, create, and track key metrics and results for product and operational teams, holding them accountable throughout the quarter.
  • Work with data scientists to understand and develop methods for detecting and mitigating financial crime.
  • Build the framework for managing risk and customer experience at scale.
  • Drive discovery by scoping new opportunities and suggesting features, rules, and models to combat emerging risks, including supporting typology coverage for APAC.
  • Quantify risk-growth trade-offs by sizing how controls affect growth, revenue, and customer experience to inform AML strategy in APAC.
  • Collaborate with Product, Data Scientists, Engineering, and Operations teams.

Desired Qualifications

  • Prior experience working with regulators or compliance, especially in fintech.
  • Knowledge of the fintech ecosystem in multiple APAC markets.
  • Knowledge of tools such as Airflow, GitHub, or dbt.
  • Experience with funnel optimization.
  • Experience in data science and machine learning.

About the Company

Wise

Low-cost international money transfers with API

Wise enables international money transfers with lower fees by using a peer-to-peer model to match transfers across borders. It offers a multi-currency account for holding and managing money in different currencies and provides an API for businesses to integrate Wise transfers into their platforms. Unlike traditional banks that charge higher fees and poor exchange rates, Wise uses transparent, small-per-transaction fees and real-time exchange rates to reduce costs. Its approach differentiates it from competitors by emphasizing simplicity, cost transparency, and a broad API for business integration. The goal is to make cross-border payments cheaper, faster, and more transparent for individuals and businesses around the world.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
2011

Recently Posted Jobs

Explore more opportunities at Wise

See more jobs