Back to jobs

Senior Data Analyst (Compliance Officer - Transaction Monitoring, AML/CTF)

Prague

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated
Apply at Deutsche Börse

What you’ll work on

Full posting
  • Analyze large transaction datasets with Python and SQL to find financial crime patterns

  • Support design and tuning of transaction monitoring rules, thresholds and scenarios

  • Analyze monitoring results to reduce false positives

  • Prepare analyses and documentation for regulatory and audit requests

  • Work with the Money Laundering Reporting Officer on potential SAR filings

From the employer’s posting
Analyze large and complex financial transaction datasets to identify trends, patterns, anomalies, and potential financial crime risks using python and SQL.
Support the design, calibration, and ongoing optimization of transaction monitoring rules, thresholds, and scenarios.
Analyse monitoring results to optimize false/positive ratio.
Support regulatory, internal audit, and external audit requests by preparing analyses, metrics, and documentation.
Work closely with the Money Laundering Reporting Officer and prepare potential filing of SARs.

Tools in this posting

  • Python
  • SQL
  • Databricks
Source — Tool mentions in context
Your responsibilities: - Analyze large and complex financial transaction datasets to identify trends, patterns, anomalies, and potential financial crime risks using python and SQL. - Support the design, calibration, and ongoing optimization of transaction monitoring rules, thresholds, and scenarios.
- You have profound knowledge of relevant regulatory legislations and requirements in the field of German and EU regulations (KWG, GWG, AMLR, etc.) and solid understanding of transaction monitoring concepts and financial crime risks. - You have very strong analytic skills and sound knowledge in data analyses, SQL and Python. Databricks is a plus. - General technical understanding of software architecture and networks round up your profile

Posting record

Report an error

Open 3 monthsWe first saw this listing 90 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 24, 2026 · 90 days ago
Recorded sightings
270
Last seen by us
Oct 22, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on careers.deutsche-boerse.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

Your area of work:

The Compliance Function works in close coordination with the individual business units and other group control functions to ensure compliance with national and international laws, rules, and regulations applicable to various units of the Deutsche Börse Group and its business activities. The Compliance Function has a proactive role in the identification of possible compliance or reputational risks, including those that may arise in connection with new activities and products. Group Compliance defines group-wide compliance standards, supports their consistent application within the group entities, and provides centralized services. 

 

As a Senior Data Analyst / Compliance Officer Analytics & Monitoring you are responsible for analyzing financial transaction data to support the detection, investigation, and prevention of suspicious activities, including money laundering, terrorist financing, fraud, and other financial crimes. The role contributes to the continuous improvement of transaction monitoring frameworks through data-driven insights, quantitative analysis, and close collaboration with other colleagues from compliance, risk, business and technology stakeholders.

 

Your responsibilities:

  • Analyze large and complex financial transaction datasets to identify trends, patterns, anomalies, and potential financial crime risks using python and SQL.
  • Support the design, calibration, and ongoing optimization of transaction monitoring rules, thresholds, and scenarios.
  • Implement, and improve processes, and guidelines within the monitoring team in accordance with regulations (especially, but not limited to Anti Money Laundering/Terrorism Financing and Fraud).
  • Support data-driven tuning exercises and provide evidence-based recommendations for improvements.
  • Analyse monitoring results to optimize false/positive ratio.
  • Contribute to cross-functional initiatives, projects, and enhancements related to transaction monitoring and analytics.
  • Support regulatory, internal audit, and external audit requests by preparing analyses, metrics, and documentation.
  • Be involved in meetings with the business to discuss and identify new relevant typologies.
  • Create and maintain documentation to fulfil audit requirements.
  • Maintain and improve the relationship with expert departments within the legal entities, including internal and external stakeholders.
  • Work closely with the Money Laundering Reporting Officer and prepare potential filing of SARs.
  • Monitor and analyse regulatory requirements and support the team in implementing relevant internal rules, standards, processes, and guidelines.
  • Act as a central point of assistance for external requests from authorities and answer those in German.
  • Offer advisory for investigation team, development of the investigation decision matrices

 

Your profile:

  • You have a minimum of five years professional experience in the field of data analysis in the financial market and experience working with large datasets and complex data structures in regulated environments.
  • You have a university degree in Data Science, Statistics, Computer Science, or comparable qualifications and you are familiar with data analysis and statistical methods
  • Change and release management are topics which you know and feel comfortable with including requirements management.
  • Relevant experience as a data analyst in the financial services sector, preferably in transaction monitoring, financial crime, AML/CTF, or fraud analytics. Knowledge about settlement business will be a plus.
  • You have profound knowledge of relevant regulatory legislations and requirements in the field of German and EU regulations (KWG, GWG, AMLR, etc.) and solid understanding of transaction monitoring concepts and financial crime risks.
  • You have very strong analytic skills and sound knowledge in data analyses, SQL and Python. Databricks is a plus.
  • General technical understanding of software architecture and networks round up your profile
  • Strong writing, conceptual and methodological skills, ability to communicate complex analytical results clearly to both technical and non-technical stakeholders.
  • Structured, methodical, and documentation-oriented working style.
  • Ability to work independently as well as collaboratively in cross-functional teams.
  • You enjoy working in a team and matrix organization in a multi-cultural, multi-location, and international environment with a high level of initiative, flexibility, commitment, and motivation.
  • Proficiency in written and spoken English and German

  

 

You can look forward to our benefit package:

 

  • Hybrid Work and Flexible working hours
  • Work from abroad - 12 days of remote work from EU countries per year
  • Pension fund contribution - 3% of your gross salary (5% after 5 years with us)
  • Health & Wellbeing - fully covered Multisport card, life & accident insurance, sick days and 100% salary contribution during sick leave (up to 56 days)
  • 25 vacation days
  • Mobility - fully covered public transport in Prague & free parking
  • Flexible Benefit Account (Pluxee) - 1200 per month
  • Group Share Plan - discount on company shares
  • Free Access to E-Learning Platforms, Internal Development Programs, Mentoring & Learning Budget.. and way more!
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Prague

You can look forward to our benefit package: - Hybrid Work and Flexible working hours - Work from abroad - 12 days of remote work from EU countries per year - Pension fund contribution - 3% of your gross salary (5% after 5 years with us)
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.