Senior Manager Data Analyst-Investment Management/Asset Management

Your Skills and Experience

· 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 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 below.

· Asset-specific data: This includes data related to financial instruments reference data like asset specifications, maintenance records, usage history, and depreciation schedules.

· Market data: This includes data like security prices, exchange rates, index constituents and licensing restrictions on them.

· Risk data: This includes data related to risk factors such as market risk, credit risk, operational risk, and compliance risk.

· ESG data: This includes data related to ESG Ratings, Research, Sustainbility.

· Should possess Problem Solving, Attention to detail, Critical thinking.

· Technical Skills: Excellent hands-on SQL, Advanced Excel, Python, Data Visualization platforms, like OBIEE, Power BI, Tableau etc, ML (optional) and proven experience and knowledge of data solutions.

· Knowledge of data management, data governance, and data engineering practices

· Hands on experience on data modelling techniques such as dimensional, data vault etc.

· Willingness to own and drive things, collaboration across business and tech stakeholders.