Data Business Analyst in Global Financial Crime and Fraud Prevention Global TM Optimisation

2 tygodni temu


Warszawa, Mazovia, Polska Inghubspoland Pełny etat
Data Business Analyst in Global Financial Crime and Fraud Prevention Global TM Optimisation

Join to apply for the Data Business Analyst in Global Financial Crime and Fraud Prevention Global TM Optimisation role at ING Hubs Poland

Job Overview:
Be among the first 25 applicants to apply for this role.

Minimum Requirements:
  • You have a minimum of 3 years of experience as a Business Analyst and 2 years of experience working with Anti-Money Laundering (AML).
  • You have experience in change projects and initiatives related to AML.
  • You have work experience with operations MI/dashboards that provide clear insights to Operations Teams, as well as condensed views for senior management.
  • You are familiar with Data Quality requirements and have experience working closely with areas developing and/or running Data Quality scripts.
  • You have experience in designing and developing Automated Controls (Data Quality).
  • You have experience with concepts of inherent and residual risk, Risk Based Approach, and risk appetite.
  • You can identify and define problems clearly and propose effective solutions.
  • You demonstrate openness to change and the ability to adapt your behaviour effectively.
  • You can establish plans to determine tasks, priorities, and timelines.
  • You are fluent in English.
  • Master's or Bachelor's degree.
  • Experience working in IT and solution-build driven teams.
  • Strong focus on understanding regulatory and business requirements.
  • Familiarity with key regulatory documents (e.g., EU AMLD5 and AMLD6, USA Patriot Act).
  • Knowledge of domestic and international payment flows such as SWIFT and SEPA.

Your Responsibilities:

  • Define requirements regarding automated & continuous controls monitoring & data quality checks.
  • Support activities driven by findings from internal or external audits.
  • Identify areas of impact on Transaction Monitoring (TM) Data and work on risk assessment and solution designing.
  • Evaluate, analyze, and communicate systems/process requirements/improvements regarding TM Data.
  • Prepare and review business and functional documentation regarding data quality controls and requirements.
  • Build effective working relationships with stakeholders and partners across numerous countries.
  • Contribute to improvements of the data framework by disseminating lessons learned.
  • Increase awareness of the importance of proper Data Quality among Countries and Global Teams.

Information about the squad:
As part of ING's Global KYC organisation, the TM Optimisation and Data services, you will join the Data Controls Management (DCM) team.

The TM Optimisation and Data services have central teams in The Netherlands, as well as Hub teams in Poland, Romania, Slovakia, and The Philippines.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Finance, Analyst, and Business Development

Industries

Banking, Information Services, and Financial Services

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