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Senior Data Engineer at BNP Paribas – build high‑performance Python micro‑services for AML data pipelines in Mumbai.
Drive AML platform, collaborate cross‑functional, mentor juniors, and innovate with cutting‑edge tech.
AML Senior Data Engineer
About Business Line/Function
The AML IT function sits within the BNP Paribas Corporate & Institutional Banking (CIB) CEFS‑technology ecosystem and provides end‑to‑end technology platform that enables the bank’s anti‑money‑laundering (AML) program. Its core purpose is to translate regulatory and compliance requirements into robust, scalable, and secure IT solutions that detect, investigate, and report suspicious activity across the Group’s global operations. The AML IT business line is the technology backbone that transforms raw transaction data into actionable AML intelligence, ensuring that BNP Paribas CIB meets its regulatory obligations while maintaining operational resilience and innovation.
Position Purpose
The AML platform is the technological backbone that protects BNP Paribas Group from fraud, money‑laundering and other financial crimes. As a Senior Data Engineer you will design, build and operate high‑performance, Python services that ingest, enrich, analyze and surface AML‑relevant data. You will work side‑by‑side with data‑scientists, compliance experts and other engineers to translate regulatory requirements into reliable code. Direct AML experience is not mandatory; strong end to end data pipeline development experience, Python, SQL expertise, a proven record of delivering large‑scale data‑intensive systems and the ability to pick up AML concepts quickly are essential.
Direct Responsibilities
Develop & deliver production‑grade Python micro‑services, event‑driven workers and APIs (FastAPI/Django/Flask, Celery, asyncio) that process millions of transactions per day with low latency. Build data pipelines using PySpark, Apache Beam or similar frameworks; integrate with streaming platforms (Kafka, Pulsar) and batch ingestion layers. Collaborate with data‑science teams to package, serve and monitor ML models for anomaly detection, transaction clustering and network analysis. Implement data‑quality, lineage and privacy controls (GDPR/CCPA) throughout ingestion‑to‑case‑management flows. Write automated tests, CI/CD scripts and IaC (Terraform/CloudFormation) to ensure repeatable, safe releases. Perform code reviews, mentoring and knowledge‑sharing to uplift junior developers and enforce Python best‑practice standards. Monitor, troubleshoot and optimize services in production using observability stacks (ELK, Grafana, Prometheus, OpenTelemetry) and profiling tools (Dynatrace, Py‑Spy, cProfile). Participate in feasibility studies for emerging technologies (graph databases, stream‑ and produce concise evaluation artefacts for the AML Architecture Committee (ITSVC). Implement end to end data orchestration with proper data modeling. Document architectural decisions, API contracts and data‑flow diagrams to keep the AML platform aligned with the target‑state design.
Technical and behavioral Competencies
Expert‑level knowledge on Python, async programming, libraries: FastAPI/Django/Flask, Celery, Pandas, NumPy, PySpark. Should be able to design, develop and secure REST/GraphQL services; event‑driven patterns (Kafka, Pulsar). Should be able to build/optimize ETL/ELT pipelines; experience with Spark/Flink Strong knowledge on SQL (PostgreSQL, Oracle) and NoSQL/graph (Neo4j, JanusGraph) – modelling, indexing, performance tuning. Production experience on Docker, Kubernetes (helm charts), serverless functions. Hands on experience on Jenkins, Bitbucket Pipelines, GitHub Actions; IaC (Terraform, CloudFormation); automated testing (pytest, unittest). Should write logging, metrics & tracing using (ELK, Prometheus, Grafana, OpenTelemetry). Should have awareness of Secure coding, OAuth2/JWT, data‑privacy (GDPR/CCPA. Should have ability to articulate technical concepts to both technical and compliance audiences; strong written documentation skills. Proven experience in globally distributed Agile squads; mentor junior team members. Ability & willingness to learn & work on diverse technologies (languages, frameworks, and tools).
Nice to have skills
Exposure to ML frameworks (Scikit‑learn, TensorFlow, PyTorch) and model‑deployment pipelines. Familiarity with AML‑specific open‑source tools (SAR‑ML, OpenAML, custom rule engines). Knowledge of AML regulatory reporting standards (FAT, 5AMLD, FinCEN). Cloud‑architect certifications (AWS Solutions Architect, Azure Solutions Architect, Google Professional Cloud Architect).
Education Level
Bachelor Degree or equivalent
Experience Level
At least 7 years
About BNP Paribas India Solutions
Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai, and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best‑in‑class solutions.
About BNP Paribas Group
BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporate and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability.
Commitment to Diversity and Inclusion
At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected, and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind, and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, color, national origin, age, religion, social status, mental or physical disabilities, veteran status etc.