Unit21
Unit21
Unit21 izstrādā pielāgojamus krāpšanas novēršanas un nelikumīgi iegūtu līdzekļu legalizācijas novēršanas (AML) programmatūras risinājumus finanšu tehnoloģiju un atbilstības komandām. Tās platforma nodrošina pielāgotu atklāšanas loģiku, maksājumu krāpšanas novēršanu reāllaikā, darījumu uzraudzību, automatizētu izmeklēšanu, lietu pārvaldību un regulatīvās atbilstības darbplūsmas. Uzņēmums dibināts 2018. gadā un darbojas finanšu tehnoloģiju, kiberdrošības un atbilstības jomu krustpunktā; tajā strādā 51–200 darbinieku.

Forward Deployment Engineer, Unit21 (Remote)

Lead customer implementations of Unit21’s fraud and AML platform for banks, fintechs, and crypto companies. Integrate customer data, tune AI investigation agents, and deliver production-ready compliance workflows.

Apraksts

  • Lead customer implementations from kickoff through launch, coordinating plans, timelines, and stakeholder communications.
  • Design customer data integrations through real-time APIs, batch files, and core banking extracts.
  • Map schemas and backfill historical records to produce clean, validated data for production.
  • Build, test, and refine fraud and AML programs across the full workflow.
  • Set up rules, screening, customer risk ratings, AI agents, and case workflows.
  • Train customer teams and transition launched accounts to Customer Success colleagues.
  • Convert project experience into reusable implementation playbooks.
  • Share patterns across customers with Product and Engineering.

Prasības

  • At least five years in implementation, solutions engineering or architecture, technical consulting, or forward-deployed engineering for B2B SaaS, preferably in fintech, regtech, or financial crime.
  • Practical experience with REST APIs and Postman, SQL and relational databases, ETL pipelines, and a programming language such as Python or JavaScript/TypeScript.
  • Can design an integration end to end and troubleshoot it when problems arise.
  • Can map customer file formats or schemas, spot missing data, and explain needed changes to technical teams.
  • Experience with core banking data from providers such as FIS, Fiserv, or Jack Henry is a plus.
  • Can turn fraud and BSA patterns into detection rules and test those rules against real data.
  • Experience configuring or building LLM-based workflows or agents, writing instructions, evaluating outputs, and assessing production readiness.
  • Can manage multiple implementations, adjust to shifting priorities or requirements, and flag delays early with a recovery plan.
  • Communicates clearly with compliance and data engineering stakeholders.
  • Must be based in Arizona, California, Colorado, Georgia, Idaho, Illinois, Kansas, Massachusetts, Maryland, New Jersey, New York, Oregon, Pennsylvania, Rhode Island, Texas, Washington, or Canada.

Priekšrocības

  • Competitive salary and pre-IPO equity.
  • Company-paid medical, dental, and vision coverage for employees.
  • Unlimited paid time off and generous leave programs.
  • 401(k) plan.
  • Learning and development stipend.
  • Home office setup support.
  • Collaborative, high-ownership culture centered on impact, innovation, and growth.

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