🚨 Barclays Hiring | Transaction Monitoring Analytics

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Barclays Is Hiring a Transaction Monitoring Analytics AVP in Gurugram

Group Economic Crime COO • Data & Analytics • SQL, Python, Spark, ML/GenAI

This is one of the more technically interesting financial-crime roles on the market right now — it's not a compliance-analyst desk job. Barclays wants someone who can build data pipelines and dashboards and speak the language of AML/transaction monitoring, sitting inside the Group Economic Crime COO function in Gurugram.

🚀 Apply Now on Barclays Careers

Job Requisition ID: JR-0000124837

📌 Job Details

CompanyBarclays
PositionTransaction Monitoring Analytics – AVP
LocationGurugram – DLF Downtown, India
Business AreaGroup Economic Crime COO
Employment TypePermanent
Requisition IDJR-0000124837

💼 What the Role Actually Does

This sits at the intersection of data engineering and financial-crime domain knowledge — you're building the pipelines and dashboards that decision-makers in AML and Transaction Monitoring actually rely on, not just reporting numbers someone else generated.

Core Technical Work

  • Investigating data-quality, lineage, and control issues, and documenting findings
  • Designing and building data pipelines to automate data movement and processing
  • Applying advanced analytics to uncover trends and correlations across large datasets
  • Building interactive dashboards and automating recurring reporting

Financial Crime Context (Good to Have)

Exposure to AML, transaction monitoring detection systems, and typologies for AML and terrorist financing is listed as advantageous rather than mandatory — so a strong data background with some financial-crime curiosity can still be competitive here.

Why this one stands out: most "transaction monitoring analyst" postings are process-and-compliance roles. This one explicitly wants SQL/Python/Spark coding ability plus machine learning and GenAI familiarity — it's a data role first, with financial-crime domain knowledge layered on top rather than the other way around.

🛠️ Skills That Matter Most

  • SQL, Python, Scala/Spark — hands-on coding, not just tool literacy
  • Data exploration, visualization, and dashboard development
  • Understanding of Data Management & Model Validation controls
  • Machine Learning, LLM, and ideally GenAI familiarity
  • AML/Transaction Monitoring exposure (advantageous, not required)
  • Knowledge of UK and global Financial Crime regulatory frameworks (advantageous)

⭐ AVP-Level Expectations

Beyond the technical bar, Barclays expects AVPs to advise on decision-making, take ownership of risk and controls, and lead or guide colleagues through complex assignments. For people-leadership responsibilities specifically, Barclays frames this around four behaviours — Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others — alongside its core values of Respect, Integrity, Service, Excellence, and Stewardship.

🎯 Who This Fits

  • Data Analysts/Scientists comfortable with SQL, Python, and Spark
  • Financial Crime, AML, or Transaction Monitoring professionals with technical range
  • Data Engineers who can also speak to risk and controls
  • Anyone building toward AI/ML-driven financial-crime detection work

Apply

Applications go through Barclays' own Workday careers portal.

Apply on Barclays Careers →

Requisition ID: JR-0000124837

⚠️ Disclaimer

This post is for informational purposes. Job availability, requirements, and closing dates can change without notice. Please verify current details on Barclays' official careers page before applying.

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