Data Driven Decision Making Specialist

1 week ago

Bengaluru, Karnataka, India beBeeInvestment Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Investment Management and Risk Data Product Owner

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  • The key responsibility of this role is to lead the investment and risk data outcomes and capabilities for the ISS Data Programme.
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Key Responsibilities:

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  • Lead the development of the data product vision and strategy with end-to-end thought leadership.
  • Define the data quality use cases for all the required data sets and contribute to the technical frameworks of data quality.
  • Align the functional solution with the best practice data architecture & engineering.
  • Collaborate closely with Data Governance, Business Architecture, and Data owners etc.
  • Conduct workshops within the scrum teams and across business teams, effectively document the minutes and drive the actions.
  • Senior management level communication to influence senior tech and business stakeholders globally, get alignment on the roadmaps.
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Essential Skills Required:

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  • Strong leadership and senior management level communication, internal and external client management and influencing skills.
  • At least 15 years of proven experience as a senior business/technical/data analyst within technology and/or business change delivering data led business outcomes within the financial services/asset management industry.
  • 5-10 years s a data product owner 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.
  • In depth knowledge of how data vendor solutions such as Rimes, Bloomberg, MSCI, FactSet support Investment, Risk, Performance and Attribution business needs.
  • Outstanding knowledge of data life cycle that drives Investment Management such as research, order management, trading, risk and attribution.
  • Financial data: This includes information on asset prices, market trends, economic indicators, interest rates, and other financial metrics that help in evaluating asset performance and making investment decisions.
  • 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 constituent 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.
  • Performance & Attribution data: This includes data on fund performance returns and attribution using various methodologies like Time Weighted Returns, Transaction based performance attribution.
  • Problem Solving, Attention to detail, Critical thinking.
  • Technical Skills: Hands on SQL, Advanced Excel, Python, ML (optional) and knowledge of end-to-end tech solutions involving data platforms.
  • Knowledge of data management, data governance and data engineering practices.
  • Hands on experience on data modelling techniques like dimensional, data vault etc.
  • Willingness to own and drive things, collaboration across business and tech stakeholders.

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