Senior Manager Data Analyst-Investment Management/Asset Management

Fidelity International; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Fidelity International is seeking a seasoned business/technical/data analyst in Bengaluru, India. The role demands 12-15 years of experience in technology changes within financial services and expertise in data solutions using platforms like Snowflake and Refinitiv Eikon.

The ideal candidate will demonstrate critical thinking, problem-solving skills, and a hands-on approach with SQL and data visualization tools. A strong understanding of data lifecycle across Middle and Back Office functions is essential for this role.

Qualifications

• At least 12-15 years of experience as a business/technical/data analyst in financial services.
• Proven experience delivering data-driven outcomes using leading data platforms.
• In-depth expertise in data and calculations across the investment industry.

Skills

Data analysis

Problem-solving

Critical thinking

Attention to detail

SQL

Python

Excel

Data visualization (OBIEE, Power BI, Tableau)

Tools

Snowflake

State Street Alpha Data

Refinitiv Eikon

SimCorp Dimension

BlackRock Aladdin

FactSet

Job description

Qualifications

• At least 12‑15 years exp as a business/technical/data analyst within technology and/or business changes within the financial services/asset management industry.
• 8‑9 years as business/technical/data analyst adhering to agile methodology, delivering data solutions using industry leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet etc.
• Proven experience of delivering data driven business outcomes using industry leading data platforms such as Snowflake.
• Excellent knowledge of the data life cycle that drives Middle and Back Office capabilities such as trade execution, matching, confirmation, trade settlement, record keeping, accounting, fund & cash positions, custody, collaterals/margin movements, corporate actions, derivations and calculations such as holiday handling, portfolio turnover rates, funds of funds look‑through.
• In‑depth expertise in data and calculations across the investment industry covering the following:
• — Asset‑specific data: data related to financial instruments reference data like asset specifications, maintenance records, usage history, and depreciation schedules.
• — Market data: data such as security prices, exchange rates, index constituents and licensing restrictions.
• — Risk data: data related to risk factors such as market risk, credit risk, operational risk, and compliance risk.
• — ESG data: data related to ESG ratings, research, sustainability.
• Possess problem solving, attention to detail, and critical thinking skills.
• Technical skills: excellent hands‑on SQL, advanced Excel, Python, data visualization platforms such as OBIEE, Power BI, Tableau, ML (optional) and proven experience and knowledge of data solutions.
• Knowledge of data management, data governance, and data engineering practices.
• Hands‑on experience with data modelling techniques such as dimensional and data vault.
• Willingness to own and drive initiatives, collaborating across business and tech stakeholders.