Job Title:  Assistant Manager | Financial Crime | Delhi | Forensic & Financial Crime

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 platform—leveraging 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 you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You’ll:

• 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: 2–4 years total, 1+ with Quantexa/Spark.
• Senior Specialist / Lead: 5–9 years total, 2–3+ on Quantexa; led 1–2 end-to-end implementations.
• Architect / Principal: 10+ years total, 3–5+ on Quantexa; owns architecture, patterns, and roadmaps.
• Bachelor’s/Master’s in Computer Science, Information Systems, Data Engineering, or equivalent experience.