Tiger Analytics
Tiger Analytics
Tiger Analytics ir mākslīgā intelekta un analītikas konsultāciju uzņēmums, kas palīdz organizācijām pārvērst sarežģītus datus praktiskos biznesa lēmumos. Uzņēmuma darbība aptver datu stratēģiju, mašīnmācīšanos, mākslīgā intelekta inženieriju un biznesa informācijas analīzi, īpašu uzmanību pievēršot analītikas integrēšanai ikdienas darbībā un plašākās digitālās pārveides programmās. Uzņēmums darbojas veselības aprūpes, loģistikas, mārketinga, patēriņa preču un finanšu nozarēs, izmantojot mākoņtehnoloģijas un sadarbojoties ar tādiem pakalpojumu sniedzējiem kā Microsoft, Google Cloud un AWS, lai izstrādātu un mērogotu uz datiem balstītus risinājumus.

Senior Financial Crime Compliance Business Analyst

Bridge financial-crime compliance teams and IT at Tiger Analytics, an advanced analytics consulting firm. Define AML requirements, data mappings, monitoring rules, and user acceptance testing scenarios.

Apraksts

  • Lead discovery with compliance teams, investigators, and risk leads to define monitoring scope and workflows.
  • Develop business and functional requirements, user stories, and acceptance criteria.
  • Compare current compliance operations with target platform capabilities to identify gaps.
  • Review customer, account, and transaction data models from core banking systems.
  • Map source data to AML transaction-monitoring and screening engines.
  • Find missing or corrupted historical data that could affect alert generation.
  • Convert regulatory rules and internal risk mandates into monitoring parameters and typology thresholds.
  • Assess vendor product modules against compliance requirements in relevant jurisdictions.
  • Set data standardization and cleansing rules.
  • Align technical data producers with business users.
  • Prepare test plans and realistic financial-crime scenarios.
  • Coordinate user acceptance testing with business stakeholders.
  • Check that monitoring scenarios generate alerts without excessive false positives.
  • Resolve functional questions from developers, data engineers, and QA teams during implementation.
  • Record constraints and project assumptions, and manage scope changes through the project lifecycle.
  • Provide architects and developers with financial-crime domain knowledge during technical discussions.

Prasības

  • At least 12 years of IT experience as a business analyst in banking or financial services.
  • At least 3–7 years of AML, financial crime compliance, or KYC experience for this domain-focused role.
  • Assess work from the client’s business perspective and align program delivery with business outcomes and needs.
  • Proactively identify effective implementation or enhancement approaches for modernization initiatives.
  • Working knowledge of Excel, SQL, BI or visualization tools, and/or Python.
  • Strong communication and stakeholder management skills, including the ability to gain attention assertively and drive compliance.

Priekšrocības

  • Substantial opportunities for career development.
  • Work in a small, fast-growing, challenging, entrepreneurial environment.
  • A high degree of individual responsibility.
  • Equal employment opportunity protections under federal, state, and local law.

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