Senior Associate Data Modeler

Senior Associate Data Modeler

Bengaluru, Karnataka, India

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JOB INFORMATION

Job Identification

210796993

Job Category

Analytics Solutions & Delivery

Business Unit

Corporate Sector

Posting Date

10/26/2026, 05:30 PM

Locations

Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru, IN-KA, 560103, IN

Apply Before

10/31/2026, 09:30 AM

Job Schedule

Full time

JOB DESCRIPTION

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

As part of Risk Management and Compliance, you are at the center of keeping the firm strong and resilient. You help JPMorganChase grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As the Data Analyst & Modeler in the Office of Regulation and Document Governance (ORDG), you will be the hands-on practitioner who takes ORDG’s policy, standard, procedure and regulatory content apart at the atomic level — clauses, obligations, controls, defined terms, cross-references and their relationships — and turns it into structured, analyzable, machine-readable data. Reporting to ORDG’s Data Governance & Data Product Lead and working alongside the Data Modeler & Business Analyst and the Data Analytics Lead, you will use data-science techniques (statistical analysis, NLP, entity and relationship extraction, clustering, similarity and graph methods) to profile the estate, prototype logical and physical models, validate them against real content, and generate the evidence base that governance and product decisions are made on. You will be equally comfortable in a notebook and in a modelling tool, and will pair with Data Science, Technology and consuming platforms (FPSP, DOGMA, LRCM and the RM&C Bulletin Tool) to make sure what we design at the whiteboard actually holds up on the real corpus.

Job responsibilities

Decompose ORDG’s document corpus at the atomic level — clauses, obligations, controls, defined terms, cross-references and citations — and build the entity and relationship views that describe how policy content actually connects.

Profile the governed data estate — completeness, cardinality, duplication, drift, orphaned references and structural anomalies — and surface findings that inform data-product design, remediation and prioritisation.

Apply NLP and text-analytics techniques (entity extraction, relationship extraction, similarity, clustering, topic modelling) to reveal structure inside unstructured policy content and translate it into candidate data structures.

Build and maintain a knowledge-graph view of the corpus — obligations, controls, defined terms, policies, procedures and their citations and dependencies — to make cross-document relationships explicit and queryable, and to underpin retrieval, impact analysis and AI grounding.

Prototype and iterate conceptual, logical and physical data models for ORDG’s governed data products in partnership with the Data Modeller & Business Analyst — including entity/attribute definitions, cardinality, hierarchy and lineage.

Validate proposed models against real content at scale — loading representative samples, testing rules, measuring coverage and edge-case behaviour — and feed evidence back into design decisions before physical build.

Build reference data structures for canonical taxonomies (obligations, controls, defined terms, jurisdictions) and maintain the mappings between source content and canonical form.

Support the Data Modeller & Business Analyst and Technology partners on physical implementation — data contracts, schema binding, transformation logic, validation rules — and hold artefacts accurate as the model evolves.

Use Python and SQL as everyday tools — pandas, scikit-learn, spaCy / NLP libraries, graph libraries, notebook-based analysis — to interrogate content, prototype models and generate evidence.

Design and run experiments to answer specific product and governance questions (e.g. ‘how many obligations overlap across two policies?’, ‘what is the citation graph for this domain?’, ‘where does a controlled term drift?’) and communicate results in a way non-specialists can act on.

Partner with Data Science on retrieval quality, extraction accuracy and model evaluation — including labelling, gold-set curation and error analysis on AI-generated structured output.

Produce the analytical artefacts that inform governance forum decisions — profile reports, coverage analyses, similarity maps, model change impact assessments — with a clear audit trail from raw content to conclusion.

Contribute to the ORDG analytics estate in partnership with the Data Analytics Lead — including estate-health signals, KPI/KRI feeds and content-level telemetry — as governed inputs into the unified analytics platform.

Support user-acceptance testing and data-quality validation for new or amended data products; capture defects, quantify impact, and re-baseline artefacts once accepted.

Work across time zones and delivery streams from Bangalore — pairing daily with governance, modelling, analytics, Technology and Data Science partners in the U.K., U.S. and India — and holding artefacts as the single source of truth across the handover.

Contribute to backlog refinement across the Define & Govern Data Products workstream: break down asks into modelling and analytical work items, estimate effort, and sequence delivery with the Data & AI Execution Lead.

Required qualifications, capabilities, and skills

Experience in a hands-on data analyst, data scientist or data modeler role — including entity/relationship modellin