Deputy Manager | Financial Crime | Delhi | Forensic & Financial Crime

Deputy Manager SRT- Forensic & Financial Crime Quantexa

• Location: Delhi

The team

Innovation transformation and leadership occur in many ways. At Deloitte our ability to help solve clients most complex issues is distinct. We deliver strategy and implementation from a business and technology view to help you lead in the markets where you compete. Learn more about our Risk Regulatory & Forensic Practice.

Your work profile

We are seeking a Quantexa Specialist to design build and optimize solutions on the Quantexa Decision Intelligence platformleveraging Entity Resolution (ER) Network Generation and Contextual Insights to deliver outcomes across AML/KYC Fraud Trade Surveillance and Customer Intelligence. You will partner with data engineering product and business teams to translate requirements into scalable production-grade solutions.

As an Deputy Manager in our Forensic & Financial Crime team youll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. Youll:

• Design & Build: Configure Quantexa data models entity resolution strategies and network analytics for high-scale ingestion and processing.
• Use Case Delivery: Implement AML/KYC Sanctions Fraud Credit Risk or Customer 360 use cases with measurable KPIs (e.g. alert precision case triage reduction).
• Integration & Data Pipelines: Collaborate on data ingestion (batch/streaming) schema design match rules survivorship and scoring.
• Performance & Reliability: Optimize Spark jobs indexing and graph/network retrieval for SLAs; ensure observability and recovery.
• MLOps (Optional): Integrate models (risk scoring anomaly detection) with features from the Quantexa graph.
• Governance & Security: Ensure data privacy lineage and auditability aligned with policies and regulatory requirements.
• Documentation & Enablement: Produce solution designs runbooks and handover documentation; support L2/L3.
• Stakeholder Management: Collaborate with Compliance Fraud Ops and Business teams; present insights to leadership.

Must-Have Skills

• Quantexa Platform Expertise: Data model configuration Entity Resolution (match rules weights thresholds) Network Generation scoring and deployment.
• Big Data & Distributed Processing: Apache Spark (Scala/Java/PySpark) distributed data modeling and performance tuning.
• Data Engineering: ETL/ELT schema design (JSON/Avro/Parquet) SQL (PostgreSQL/Oracle) and streaming (Kafka).
• Cloud & DevOps: One or more: Azure (Databricks AKS ADLS Event Hubs) AWS (EMR EKS S3 MSK) GCP (DataProc GKE GCS); Docker/Kubernetes CI/CD (Azure DevOps/Jenkins/GitLab) Git.
• Domain Knowledge: AML/KYC Fraud Sanctions screening trade/behavioral analytics or customer intelligence in BFSI.
• SDLC & Delivery: Agile Jira/Confluence testing strategies production support discipline.

Good-to-Have

• Quantexa Certifications (e.g. Quantexa ER/DA/Implementation certifications).
• Graph/Network analytics concepts Elasticsearch/OpenSearch Neo4j (conceptual) Python for analytics Airflow.
• Experience with model ops feature engineering and explainability in financial crime analytics.
• Exposure to regulatory frameworks (e.g. FATF MAS FCA) and audit practices.

Key skills required:

Experience Range & Leveling

• Associate / Engineer: 24 years total 1 with Quantexa/Spark.
• Senior Specialist / Lead: 59 years total 23 on Quantexa; led 12 end-to-end implementations.
• Architect / Principal: 10 years total 35 on Quantexa; owns architecture patterns and roadmaps.
• Bachelors/Masters in Computer Science Information Systems Data Engineering or equivalent experience.