Bretton AI Logo

Bretton AI

Financial Crime Analyst

Reposted 2 Months Ago
Remote
Hiring Remotely in United States
28-70 Hourly
Junior
Remote
Hiring Remotely in United States
28-70 Hourly
Junior
Investigate financial transactions to identify potential money laundering activities, utilize AI for analysis, document findings, and collaborate with product teams on improvements.
The summary above was generated by AI
About Bretton AI

Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.

We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.

The Role

Financial crime is one of the largest hidden problems in the global economy. Money laundering alone moves an estimated $2 trillion through the financial system every year, funding everything from sanctions evasion to human trafficking to terrorism.

We're hiring investigators to catch it. You'll dig into transaction patterns, trace money across counterparties, and decide whether what you're looking at is a false alarm or something worth escalating. You'll also work with the most advanced AI tooling in the industry. Bretton's AI does the routine work, such as pulling data, surfacing red flags, and drafting first-pass narratives, so you can spend your time doing what investigators do best: noticing what doesn't add up, asking the next question, and making the call.

You'll also be the closest connection our Product and Engineering teams have to real-world investigations. What you notice in the work directly shapes what gets built next. Edge cases you flag become new AI capabilities. Patterns you surface drive the product roadmap. You won't just be using the most sophisticated AI tooling in financial crime, you'll be the reason it gets better.

This is real investigative work, on real cases, with real stakes. If you want a front-row seat to the most consequential AI work happening in financial crime, this is it.

What You'll Do
  • Investigate transactions, counterparties, and customer activity to figure out what's really going on

  • Work alerts using established AML procedures, separating false positives from genuine red flags

  • Use Bretton's AI agents to accelerate research, transaction analysis, and narrative drafting, then bring your own judgment to what the AI surfaces

  • Write clear, defensible narratives that hold up to quality assurance and regulatory scrutiny

  • Document your findings in the case management system to a high standard

  • Partner directly with Product and Engineering, surfacing edge cases, gaps, and opportunities that shape Bretton's roadmap

What Success Looks Like

Month 1: Onboard, learn the relevant procedures, and start working live cases with structured support. Build deep familiarity with the work you'll do at Bretton.

Month 2: Hit steady-state production with strong quality scores. Handle routine work independently and bring sharp questions to complex cases. Start contributing to procedural calibration discussions and product feedback loops.

Month 3: Become a trusted contributor on the team. Your hands-on insights shape how our AI evolves. Strong performers are positioned for extended engagements and expanded scope as our financial crime team grows.

What We're Looking For

We're hiring at multiple levels. Whether you're early in your career or bring years of investigative experience, we want to hear from you.

  • A degree in finance, accounting, criminology, economics, business, law, political science, or a related analytical field, or equivalent professional experience

  • Strong written analysis skills. Your writing is clear, structured, and stands up to scrutiny

  • Sharp attention to detail and the instinct to notice when something doesn't add up

  • Sharp judgment under ambiguity. You know when to dig deeper, when to escalate, and when to close

  • Comfort working independently in structured procedural environments. You can follow detailed instructions without losing the bigger picture

  • Genuine curiosity about how financial crime actually works and how to stop it

  • Comfort working alongside AI tools. You understand both their power and their limits, and you naturally verify outputs rather than accepting them on faith

  • Legally authorized to work in the United States without sponsorship

Bonus Points
  • CAMS certification (Certified Anti-Money Laundering Specialist) or equivalent

  • Hands-on AML case investigation experience, including SAR drafting

  • Working knowledge of money laundering typologies, red flag indicators, and US Bank Secrecy Act (BSA) requirements

  • Experience training, calibrating, or onboarding analyst teams

  • Perspective from working across multiple institution types: bank, fintech, consultancy, BPO, or regulator

  • Familiarity with SQL or basic data analysis

  • Coursework or internship experience in financial regulation or banking

Similar Jobs

8 Hours Ago
In-Office or Remote
55K-109K Annually
Senior level
55K-109K Annually
Senior level
Consulting
Performs Level 2 financial crime investigations, enhanced due diligence, transaction reviews, and quality control reviews. Ensures compliance with BSA/AML, USA PATRIOT Act, OFAC, and SAR requirements; identifies quality gaps and recommends improvements. Provides feedback, training, coaching, and subject matter expertise to analysts while supporting financial crime consulting engagements for financial services clients.
Top Skills: Aml Software SolutionsFinancial Crime Technology PlatformsMicrosoft Office SuiteOnline Research Systems
14 Minutes Ago
Remote
USA
265K-331K Annually
Senior level
265K-331K Annually
Senior level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Own the architecture and technical direction for provider-sourced client products, including lead management, caseload migration, AI-powered inquiry workflows, and provider marketing tools. Partner cross-functionally with product, design, data, sales, customer experience, and pricing teams. Build reliable user-facing systems, guide technical decisions across teams, measure product impact through experimentation, and influence teams without direct authority.
Top Skills: AICrm SystemsLlmsThird-Party Integrations
26 Minutes Ago
Remote or Hybrid
Senior level
Senior level
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads supplier development strategy and performance improvement for Honeywell Aerospace. Manages and mentors supplier development personnel, establishes supplier quality and performance standards, conducts supplier assessments, and drives continuous improvement, reliability, and innovation. Collaborates with suppliers and internal stakeholders on strategic alignment, delivery, and operational excellence. Requires technical education or equivalent experience, supplier development expertise, leadership skills, budget management, and aerospace or automotive manufacturing experience. Travel may reach 50%, including occasional international travel.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account