Manager, Data Analytics and Insights

Job Title – Manager, Data Analytics and Insights

As a Manager in the Data Science and Engineering group within in Fidelity's Risk organization, you will play a key role working closely with members of Fidelity's Corporate Services Risk teams, technology business units, and key data providers to execute on opportunities where data and information can provide insight into risk. You will participate in all phases of a project lifecycle – from framing the business question/hypothesis, identifying candidate and platform solutions, sourcing from appropriate repositories, to providing actionable insights.

• Continuously improving technical solutions and insights capabilities and spreading that knowledge and expertise throughout the organization.

• Keeping abreast of changes to technology, including being on the lookout for new and emerging solutions while safeguarding against aging and deprecation.

• Delivering data-driven and useful insights to enable objective & informed decisions and scale the capabilities of operations teams.

• Developing new solutions and tools that risk professionals will use to proactively identify risk across the firm.

• Working across Risk and Corporate Services teams to find opportunities where data analytics, automation, machine learning, artificial intelligence, or new tools can reduce manual processing and drive scale and efficiency.

• Strong systems analysis and software engineering skills, including Python, Java, JavaScript, SQL and other database programming languages such as PL-SQL, T-SQL, etc.

• Demonstrated experience developing ETL/ELT pipelines to and from various database systems such as Oracle, PostgreSQL, DB2, as well as cloud-native technologies such as Snowflake, Amazon RDS.

• Proficiency performing exploratory data analysis and transformation on large and complex data sets using SQL, ETL and Python packages such as Pandas, Polars, and PySpark.

• Familiarity with Python ORM and ELT packages such as SQLAlchemy, dbt, and SQLMesh

• Experience with the software development lifecycle, containerization, CI/CD, codebase management, change management, and post-deployment support.

• Experience working with and developing business intelligence objects and visualizations using Power BI or Tableau and Python packages such as Plotly or Seaborn.

• Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.

• Prepare raw data in Data Warehouses into a consumable dataset for both technical

• and non-technical stakeholders.

• Demonstrated ability to securely implement distributed architectures using JSON, XML, data feeds, etc.

• Create and maintain context, process, and data model diagrams along with system and user documentation.

Technical / Behavioral

• Natural intellectual curiosity, initiative, and love for learning new skills and capabilities.

• Outstanding interpersonal/communication skills.

This is an exciting and unique opportunity to learn and interact with businesses from across the enterprise, with some examples including analyzing and processing detailed client and customer data from Fidelity's recordkeeping systems, understanding how investment products are built, and developing solutions about new products and offerings (such as complex securities, new trading apps, etc.). A chance for closely working with business partners to deliver new capabilities, develop tools, build scale and efficiency, and improve their decision-making

• Bachelor's or master's degree in computer science, Information Systems, or similar disciplines.

• 4-8 years of relevant experience in Data Analytics.

Location: Bangalore - EGL

Shift timings: 9:00 am - 6:00pm