Skip to content

AML Onboarding Associate

Supports customer onboarding and ongoing due diligence by reviewing identification documents, assessing risks, resolving exceptions, and handling monitoring alerts in line with AML, CIP, and CDD regulations. Requires 2-5 years client onboarding experience at a broker-dealer and familiarity with KYC tools.

About the job

Responsibilities

  • Gather and analyze information collected at account onboarding in accordance with the Firm’s Customer Identification Program (CIP) and Customer Due Diligence (CDD) Program requirements and assess customer risk.
  • Review and validate customer identification documents (e.g. government-issued IDs, formation documents, beneficial ownership records).
  • Research and address AML questions from the Active Division onboarding team.
  • Resolve identity verification exceptions and escalate red flags appropriately.
  • Ensure timely and accurate documentation of CIP / CDD results within the Firm’s books and records.
  • Conduct CDD reviews, including customer risk assessments based on business type, geography, products, services and expected activity.
  • Perform periodic and event-driven CDD refreshes in accordance with regulatory and internal requirements.
  • Identify high risk customers and escalate cases that required Enhanced Due Diligence (EDD).
  • Review and disposition of ongoing monitoring alerts including sanctions, PEP and adverse media alerts.

Experience and Skills

  • Bachelor’s Degree or equivalent.
  • 2-5 years of experience in client onboarding for a retail broker-dealer.
  • Familiarity with KYC, CIP and CDD rules.
  • Experience with onboarding platforms and screening tools (World Check, CLEAR).
  • Strong attention to detail and ability to analyze customer information and documentation.
  • Ability to identify issues and design effective solutions to address them.
  • Excellent verbal and written communication skills.
  • Self-starter and team player who is comfortable working in a fast-paced environment.

Compensation

Base Salary Range: $95,000-$110,000 (based on experience, skills, and location). Additional compensation includes bonuses and equity.

Skills

Kyc, Cip, Cdd, World Check, Clear, AML, Customer Onboarding, Due Diligence, Sanctions Screening, Pep Screening

Crusoe

Crusoe

Bellevue, WA

Procurement Operations Analyst
$90k+/yrOn-site1+ YOEBusiness Operations

Analyzes procurement, supplier, and deployment-spend data to improve cost efficiency, supply chain operations, and data governance for data center deployments. Requires a bachelor’s degree, 1–3+ years of analytics experience, and proficiency with Power BI or Tableau plus Python, R, or SQL.

Distyl AI

Distyl AI

San Francisco, CA

Executive Operations Associate, Office of the CEO
$100k+/yrHybridBusiness Operations

Supports the CEO by managing complex logistics, stakeholder relationships, follow-through, and ambiguous business projects while improving Office of the CEO systems. Requires 0–3 years of experience, exceptional organization and judgment, strong communication, and comfort using AI tools.

Mochi Health

Mochi Health

San Francisco, CA

Operations Associate
$100k+/yrOn-siteBusiness Operations

The Operations Associate manages healthcare schedules, care coordination, workflows, and service-line performance while partnering across Clinical, Product, Care, and Data teams. The role requires a bachelor's degree, strong operational problem-solving, and comfort with SQL or analytics; healthcare operations experience is advantageous.

Hometap

Hometap

Boston, MA

Business Operations Analyst
$90k+/yrHybrid1+ YOEBusiness Operations

Analyzes business performance, maintains forecasting models, builds Tableau dashboards, and supports planning and cross-functional initiatives for Hometap’s core business. The role requires a bachelor’s degree, 1–3 years of analytical experience, and proficiency in SQL, spreadsheets, and BI tools.

Forus

Forus

New York, NY

AI Operations
$100k+/yrOn-site2+ YOEBusiness Operations

Own and improve live operational workflows that help patients access medicine, using data and frontline context to identify bottlenecks and partnering with engineering to build, evaluate, and deploy AI solutions. The role requires 2–10 years in an analytical, outcome-oriented environment and strong judgment, communication, and execution.