招聘
Benefits & Perks
•Learning and development stipend
•Health, dental, and vision coverage
•Annual team offsites
•Top Tier compensation with equity
•Remote work flexibility
•Parental leave program
Required Skills
TensorFlow
PyTorch
Apache Spark
Who we are
About Stripe
At Stripe, our Mexico City office is a vibrant hub at the forefront of our mission to reshape the financial landscape for businesses worldwide. Our team prioritizes collaboration, innovation, and excellence. As a member of the Mexico City team, you'll be part of a mission-driven community dedicated to enhancing the global economy and increasing the GDP of the internet.
We strive for excellence by creating with craft and beauty, while having fun and celebrating our successes together.**We cultivate a culture of collaboration, inclusivity and support where every team member’s voice matters. Our commitment shines through as we handle over a million support cases each year, empowering our users not just to solve problems but to achieve their goals.
About the team
This role will be part of the Anti Money Laundering (AML) Team within the Financial Crimes organization in SDC that is accountable for monitoring, investigating and reporting suspicious activity indicative of money laundering and other financial crimes.
What you’ll do
We are looking for someone who is passionate about financial crimes and solving the puzzle of investigations, is naturally curious, and is comfortable operating in ambiguity and finding creative solutions. You will be responsible for reviewing and dispositioning Transaction Monitoring alerts, conducting AML Investigations, and drafting and filing Suspicious Activity / Transaction Report (SARs / STRs) with various Financial Intelligence Units.
Responsibilities
Conducting AML Investigations from beginning to end, including conducting transaction analysis and open source and public records research in various jurisdictions;
Documenting in detail the rationale for the investigative process and recommendations of each review;
Drafting and filing Suspicious Activity / Transaction Report (SARs / STRs) with various Financial Intelligence Units; and
Maintaining operational excellence across various workstreams;
Reviewing and dispositioning Transaction Monitoring alerts;
Demonstrating sound judgment and an ability to navigate non-binary, high-risk decisions.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
Strong English written and verbal capabilities;
2+ years of analytical or investigative experience, preferably within the financial crimes, AML, risk, threat analysis, or fraud fields;
Strong research, writing, and analytical skills;
Ability to demonstrate an understanding of financial crime typologies and patterns utilized to exploit financial institutions;
Ability to synthesize large amounts of information such as transaction data and identify key trends;
Ability to work efficiently and independently in a fast-paced environment; and
Independently analyze and evaluate information from various data sources to determine a course of action for a matched case.
Preferred qualifications
Knowledge/ experience in the payments and the fintech industry;
Previous experience working in a Compliance function;
ACAMS or similar certification.
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About Stripe

Stripe
Late StageFinancial infrastructure for the internet
8,000+
Employees
South San Francisco
Headquarters
$50B
Valuation
Reviews
2.3
25 reviews
Work Life Balance
2.1
Compensation
4.2
Culture
1.8
Career
3.0
Management
1.9
25%
Recommend to a Friend
Pros
High compensation and competitive pay
Smart and brilliant coworkers
Challenging and rewarding technical work
Cons
Toxic and broken culture
Poor work-life balance and overworking
Layoffs and job instability
Salary Ranges
1,265 data points
Junior/L3
Mid/L4
Junior/L3 · Business Partner Analyst
1 reports
$108,071
total / year
Base
$93,974
Stock
-
Bonus
-
$108,071
$108,071
Interview Experience
7 interviews
Difficulty
3.3
/ 5
Offer Rate
57%
Experience
Positive 0%
Neutral 71%
Negative 29%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Interview
5
Onsite/Virtual Interview Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Leadership/Management
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