xAI Logo

xAI

Fraud Analyst (Sat-Weds)

Posted 19 Days Ago
In-Office
New York, NY, USA
100K-135K Annually
Junior
In-Office
New York, NY, USA
100K-135K Annually
Junior
Investigate and mitigate fraud, money laundering, and suspicious activity within the BSA/AML program. Responsibilities include reviewing transaction alerts and customer activity, conducting CDD and EDD, documenting investigations, tuning fraud detection rules, supporting audits and regulatory exams, monitoring emerging fraud typologies, and training staff on fraud and AML red flags. The role requires a Saturday-Wednesday schedule with in-office work Monday through Wednesday in Palo Alto or New York City.
The summary above was generated by AI

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

We are seeking a Fraud Analyst to join our BSA/AML team. In this role, you will support the detection, investigation, and mitigation of financial crime risks, with a strong emphasis on fraud-related activity. You will play a key part in ensuring XMoney remains compliant with Bank Secrecy Act (BSA), Anti-Money Laundering (AML), and related regulations while protecting the company and its customers from fraud and illicit activity.

This is a full-time salaried position with a Saturday–Wednesday schedule. Remote work is permitted on Saturdays and Sundays; in-office attendance is required Monday through Wednesday at either our Palo Alto headquarters or New York City office.

RESPONSIBILITIES:
  • Monitor, investigate, and escalate potential fraud, money laundering, and suspicious activity alerts using transaction monitoring systems and case management tools.
  • Conduct thorough reviews of customer activity, account behavior, and transaction patterns to identify red flags related to fraud and financial crime.
  • Perform customer due diligence (CDD), enhanced due diligence (EDD), and ongoing monitoring reviews.
  • Collaborate with Engineering and senior management to investigate complex cases and recommend risk mitigation actions.
  • Maintain accurate documentation of investigations, findings, and decisions to support audit and regulatory examinations.
  • Assist in the development, testing, and tuning of transaction monitoring rules and fraud detection scenarios.
  • Stay current on emerging fraud typologies, AML regulations, and industry best practices; contribute to policy and procedure updates.
  • Support internal and external audits, regulatory exams, and independent reviews of the BSA/AML program.
  • Provide guidance and training to front-line staff on fraud and AML red flags as needed.
BASIC QUALIFICATIONS:
  • Minimum of 2 years of direct experience in fraud investigation, fraud operations, or fraud risk management within the financial services or fintech sector.
  • Working knowledge of BSA/AML regulations, OFAC sanctions, and related compliance frameworks.
  • Experience using transaction monitoring systems, case management platforms, and fraud detection tools.
  • Strong analytical skills with the ability to interpret complex data and identify patterns of suspicious or fraudulent activity.
  • Excellent written and verbal communication skills, including the ability to draft clear investigative narratives and regulatory filings.
  • Ability to commit to the Saturday–Wednesday full-time work schedule.
PREFERRED SKILLS AND EXPERIENCE:
  • Experience in a fintech, payments, or digital banking environment.
  • CAMS, CFE, or other relevant compliance/fraud certifications.
  • Familiarity with SAR filing processes and FinCEN requirements.
  • Experience collaborating across Fraud, Compliance, and Risk functions.
  • Knowledge of emerging fraud trends (e.g., account takeover, synthetic identity, payment fraud, mule activity)
COMPENSATION AND BENEFITS:

$100,000 - $135,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. 

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Similar Jobs

6 Minutes Ago
Hybrid
New York, NY, USA
215K-246K Annually
Mid level
215K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Build and lead full-stack software engineering projects using cloud-based, distributed microservices and full-stack systems. Provide technical leadership across Agile teams, mentor engineers, establish coding standards, and partner with product managers and architects. Develop APIs, reusable frameworks, and scalable solutions using multiple programming languages, databases, container orchestration, and AWS services. Improve system performance, reduce technical debt, evaluate emerging technologies, and support regulatory business needs.
Top Skills: Ai Coding ToolsAsynchronous ApisAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDistributed MicroservicesDockerFront-End Javascript FrameworksGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNosql DatabasesObservabilityOpen Source RdbmsPythonRustScalaSynchronous ApisTypescript
6 Minutes Ago
Hybrid
New York, NY, USA
150K-205K Annually
Mid level
150K-205K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead procurement contract lifecycle: assess transactions, draft and negotiate agreements, manage multiple contracts to completion, advise stakeholders on risk mitigation and contracting strategy, and collaborate with legal, compliance, and business teams.
6 Minutes Ago
Hybrid
New York, NY, USA
197K-246K Annually
Mid level
197K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, deploy, and support scalable AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, evaluation, and observability. Optimize training and inference for cost, latency, throughput, and hardware utilization. Own complex AI architecture, reliability objectives, governance, and technical roadmaps while collaborating cross-functionally and mentoring engineering teams.
Top Skills: AWSAws UltraclustersAzureC#C++CudaGoGCPGpuHugging FaceJavaPythonPyTorchScalaTpuVector Databases

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