Who we are looking for

We are recruiting an Officer-level Data Scientist and ETL Developer to implement robust data integration and analytics pipelines that power State Street’s risk analytics and reporting products. The role is primarily hands-on: you will develop and maintain ingestion, transformation, validation, and publishing workflows used to onboard client and vendor data sources, standardize them to enterprise data models, and deliver timely, high‑quality outputs to downstream risk, regulatory, and management reporting platforms. You will partner closely with senior leads (AVP/VP) and peer engineers to translate requirements into reliable production workflows and continuously improve controls, observability, and automation.

Function

This role sits within Risk Services and supports the execution of the risk data integration roadmap. You will collaborate with product managers, operations, and engineering leads to modernize data movements (batch and event-driven patterns), improve reliability of existing pipelines, and support migrations from legacy implementations to target-state architectures while adhering to regulatory and control requirements.

What you will be responsible for• Build and enhance data integrations:

Develop ingestion, mapping, validation, and publishing processes to onboard client and market data from multiple custodians and vendors into standardized schemas supporting risk analytics and reporting.

• Develop and maintain ETL/ELT workflows:

Implement and maintain production-grade pipelines (primarily batch, with some event-driven components), including transformation logic, data quality rules, lineage, and exception handling.

• Support model-ready data preparation:

Work with data science partners to curate training/inference datasets and feature pipelines; support repeatable scoring and monitoring patterns where applicable.

• Testing and release support:

Create/execute test plans for pipeline changes, support CI/CD and release activities, and ensure environment configuration and dependency readiness.

• Production reliability:

Work with production support to implement monitoring, alerting, and run-books; participate in incident triage and root-cause analysis; address defects and performance issues.

• Data quality & controls:

Implement reconciliation, validation, and auditability controls aligned to internal policies and external regulations for risk data.

• Documentation & knowledge transfer:

Maintain technical specifications, mappings, and run-books; provide knowledge transfer to global support teams and mentor junior engineers when needed.

What we value Essentials

• Hands-on ETL/ELT using Pervasive (Actian Data Connect) or equivalent mapping tools; able to maintain canonical mappings with robust data-quality rules, reconciliations and back-out plans.

• Hands-on Python development

• Operate file-based ingestion using ROSCO/Filewatcher and hand off into the downstream Process Manager; implement monitoring, retries, and run-books for production readiness.

• Working knowledge of publishing risk data into SSCD/Snowflake data marts (lineage, reconciliation, and control expectations).

Nice to have

• IBM Data Stage and/or Talend for ETL, and Airflow for orchestration.

• Kafka or IBM MQ messaging patterns; Databricks/Snowflake data engineering experience under enterprise standards.

• Python/Scala for data processing and automation, including test harnesses and DQ validations.

• Familiarity with enterprise SDLC/governance and operational control expectations in financial services.

Education & Preferred Qualifications

• 3+ years total experience in data integration / data engineering / analytics engineering, with at least 1+ years building and operating production data pipelines.

• Demonstrated ability to deliver independently on assigned work items, with experience collaborating in Agile delivery teams.

• Bachelor’s degree in computer science, Engineering, Information Systems, Mathematics or related field; advanced degree is a plus.

Split of role

• Design & development (hands-on delivery): 65%

• Production reliability & support enablement: 20%

• Analysis, documentation, and testing: 15%

Key relationships

• Internal: Product managers (Risk Services), Data Engineering, Production Support, Client Service/Operations.
• External: Data vendors and technology partners as needed for onboarding and format/API changes.

Work schedule & travel

Primary location Bangalore, with periodic evening overlap to support EMEA/NA stakeholders; occasional travel may be required for workshops or go‑lives.

Are you the right candidate? Yes!

We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.

About State Street What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

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 environment 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.

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