AML Analytics Expert

Nubank - Ciudad de México - original posting ->
Status
Open
Remote policy
Onsite
Employment type
Full-time
Salary
Not stated
Categories
Enterprise Functions
Tech
onsitedata
Source
nubank
First observed
2026-09-21 18:22 UTC
Last seen
2026-09-21 18:22 UTC
Source claims posted
2026-09-21 16:41 UTC
Consecutive misses
0 of 3

What the posting says

About Nu

Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.

Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.

Visit our Institutional Page

About the role:

As it continues its journey of expansion into financial services, Nu Mexico faces growing regulatory requirements. Among them, many are related to AML (Anti-Money Laundering). An important part of our strategy is to be very efficient at that through technology.

This role plays a critical part in safeguarding Nu Mexico’s financial ecosystem against money laundering and terrorism financing, contributing to robust compliance through analytics, supporting the identification and mitigation of emerging financial crime risk through a forward-looking, data-driven AML approach aligned with the broader compliance strategy.

You’ll be Responsible for

As a highly specialized member of the team, execute the most complex parts of AML Analytics processes required by the Mexican banking regulation

Plan and deploy AML monitoring scenarios, building an efficient alert engine, as well as maintaining/improving it

Apply our machine learning models to systems and pipelines (alert generation, risk policies, etc.)

Design and implement policies/models for customer risk rating

Present and explain AML Analytics matters before the 1LOD (First Line of Defense), local leadership, regulators, auditors

Collaborate with the global AML teams at applying standards and best practices to MX

Follow-up AML-related Analytics and Tech projects that are executed by other teams

Be the local responsible for planning, project management in the area

Build and maintain indicators/metrics for measuring transaction monitoring, risk distribution, KYC, etc.

What We're Looking For Someone Who Has

Required

Data, framework, data warehousing, ETL contributor/developer, big data

Programming

Paradigms and their best practices: Object Oriented, Functional

Development of general-purpose tooling/automation

Interacting with production systems through APIs

Technology: scaling and productivity

AML, fraud, “MSAC”

Experience with regulation/Compliance/Legal

Planning & Project management, roadmaps, work planning methodologies

Analytics applications:

Problem-solving and decision making, in general

Models, practical application or theory

Work Setup

Location

Mexico City, Mexico

Work model

[Hybrid / On-Site]

Office requirement

3 days per week at the office.

Our Benefits

MEXICO JOBS:

• Chance of earning equity at Nu

• Extended maternity and paternity leaves

• Health and life insurance

• Dental and Vision Insurance

• NuCare - Our mental health and wellness assistance program

• Nucleo - Our learning platform of courses

• NuLanguage - Our language learning program

• Holiday Bonus ("Aguinaldo") of 30 days of pay per year

• 17 days of paid vacation with 25% vacation bonus

• Gym partnership

• Food card

• Work-from-home Allowance

• Parental Consultancy

• Relocation Assistance Package, if applicable

Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.

To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #903265 2026-09-21 18:22 UTC
    Published