Description
We are looking for a Lead Analyst to join our APAC AML product team and help drive data-driven growth decisions while combating financial crime in APAC markets.
As a Lead Analyst, you will innovate and implement controls that enhance security without compromising user convenience. You will collaborate closely with product managers, designers, data scientists, and engineers to bring your insights into real change for our customers.
Your mission:
- Expose vast data on our processes to product teams in a meaningful and actionable way
- Proactively contribute to, own, create, track key metrics and results for your product and operational teams
- Work with data scientists to detect and mitigate financial crime
- Build a 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
This role will give you the opportunity to:
- Be part of a positive change in the world
- Create value from extensive datasets
- Influence the team's direction
- Learn from a global network of professionals
Our ideal candidate would have:
- 8+ years of analytics experience in embedded teams, including experience in financial crime, AML, fraud, risk, or compliance analytics
- Strong quantitative skills, ideally with a background in statistics, maths, physics, engineering, or other scientific areas
- 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 and prioritize problems independently
- Experience with data visualization tools and storytelling ability with data
Some extra skills that are great (but not essential):
- Prior experience working with regulators/compliance, especially within the fintech space
- Knowledge of the fintech ecosystem in multiple APAC markets
- Knowledge of utilities like Airflow/Github/DBT
- Experience with funnel optimization
- Experience in Data Science and Machine Learning
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