Role Description We are recruiting a VP-level Data Scientist and ETL Developer to design build and operate robust data integration and analytics pipelines that power State Street s risk analytics and reporting products The role focuses on extending our data transformation and delivery architecture to onboard new client and vendor data sources standardize them to enterprise data models and deliver high quality timely information to downstream risk regulatory and management reporting platforms In addition to integration the role will lead advanced data preparation for model ready datasets support feature engineering and enable model deployment and monitoring in partnership with data science teams Function This role sits within Risk Services and works closely with product managers and engineering leads to 1 execute the risk data integration roadmap 2 modernize legacy data movements to event driven streaming and cloud patterns and 3 enable seamless migration of clients from legacy to target state architectures while maintaining regulatory and control standards ResponsibilitiesDesign build data integrations Develop resilient ingestion mapping validation and publishing processes to bring client and market data from multiple custodians and vendors into standardized schemas supporting risk analytics and reporting Own ETL ELT workflows Translate business and data analysis into production grade pipelines batch and streaming including transformation logic data quality rules lineage and exception handling Model ready data MLOps enablement Partner with data scientists to design feature pipelines curate training and inference datasets implement feature store patterns and operationalize model scoring and monitoring Integration patterns architecture Contribute to capability models and reference patterns API file message stream CDC that simplify and standardize integration across risk platforms document and review designs Environment readiness releases Automate build test and deploy processes ensure non prod prod environments secrets and dependencies are correctly configured support blue green and canary releases where applicable Production reliability Partner with production support to implement monitoring alerting run books and on call rotations lead incident triage and root cause analysis continuously harden pipelines for resiliency and cost Data quality controls Implement reconciliation validation and auditability controls aligned to internal policies and external regulations for risk data Stakeholder engagement Work with product managers client service and operations to prioritize backlog groom user stories and align technical plans with client deliverables and regulatory deadlines Documentation knowledge transfer Produce clear technical specifications mappings and run books coach junior team members and enable handoffs to global support teams Continuous improvement Identify opportunities to rationalize tech stacks retire redundant feeds and evolve toward metadata driven pipelines and self service data delivery Adaptability Continuous Learning The ability to keep up with the fast-paced evolving AI landscape Critical Thinking Evaluation The ability to verify AI outputs check for hallucinations and identify bias Skills What we re looking for EssentialStrong hands on experience building ETL ELT pipelines and data mappings for financial services ideally in risk performance or regulatory reporting contexts Proficiency with SQL SQL Server Oracle Python Scala and a workflow orchestration tools Integration patterns across file based API and message stream Kafka Event Hubs comfort with schema version management idempotency and backfills Data modelling quality dimensional relational modelling DQ rules reconciliation lineage metadata cataloguing Applied data science skills feature engineering model evaluation metrics and experience supporting model deployment monitoring with MLOps practices Agile delivery stories epics backlogs CI CD and modern git workflows clear written spoken communication across global teams DesiredReporting visualization exposure e g SSRS Power BI and experience modernizing or decommissioning legacy report stacks Experience with cloud platforms Azure AWS object storage Spark Databricks dbt and infrastructure as code Familiarity with enterprise controls for financial services change management access segregation of duties and regulatory reporting data needs Experience with feature stores model registries and monitoring e g MLflow Feast EvidentlyAI is a plus Experience10 years total experience in data integration data engineering data science with at least 5 years building production pipelines for financial data 3 years leading technical delivery or small teams including code reviews standards and mentoring Bachelor s degree in computer science Engineering Information Systems Mathematics or related field advanced degree is a plus Demonstrated success delivering change in complex global environments using Agile and or hybrid models Split of roleDesign development 50 Production reliability support enablement 15 Analysis documentation and testing 15 Stakeholder management planning 20 Key relationshipsInternal Product managers Risk Services Data Engineering Production Support Client Service Operations prioritization and delivery External Data vendors and technology partners as needed for onboarding and API format changes Work schedule travel Primary location Bengaluru with periodic evening overlap to support EMEA NA stakeholders occasional travel may be required for workshops or go lives About State Street Across the globe institutional investors rely on us to help them manage risk respond to challenges and drive performance and profitability We keep our clients at the heart of everything we do and smart engaged employees are essential to our continued success We are committed to fostering an workplace where every employee feels valued and empowered to reach their full potential As an essential partner in our shared success you ll benefit from inclusive development opportunities flexible work-life support paid volunteer days and vibrant employee networks that keep you connected to what matters most Join us in shaping the future As an Equal Opportunity Employer we consider all qualified applicants for all positions without regard to race creed color religion national origin ancestry ethnicity age disability genetic information sex sexual orientation gender identity or expression citizenship marital status domestic partnership or civil union status familial status military and veteran status and other characteristics protected by applicable law Discover more information on jobs at StateStreet com careers Read our CEO Statement

📌 Risk Analytics Product Development / Data Scientist, Vp (Karnataka)
🏢 State Street
📍 Karnataka