Middle Office Data Engineering & QualityVice President

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

We are seeking a strategic data-driven Middle Office Data Engineering and Quality - Vice President to lead the build and evolve a best-in-class Data Engineering and Quality (DEQ) function in India. This role sits within the Public Markets Middle Office and is pivotal to ensuring data accuracy transparency and operational readiness across the firms books and records in support of clients investment teams and traders and other essential uses of this data.

The successful candidate will be an innovative data science professional who will develop quality control checks and insights to mitigate data quality issues identify anomalies in data for research and continuously improve upon the process to expand across a complex data set. This position will partner closely with the different Operations Business Technology and Data Office teams to establish and evolve the data quality framework and controls to enable timely and quality portfolios investment/performance books and records (IBOR/ABOR) for data consumers.

What youll bring to the role:

10 years of experience in Investment Operations Data Management or Middle Office data and analytics at a global asset manager or financial services firm.
A strong understanding of data quality principles including accuracy completeness consistency and timeliness.
Proficient in data validation data cleansing and data governance.
Experience in investment management across pooled vehicles SMAs and institutional mandates.
Demonstrated understanding of investment and trade lifecycle with focus on portfolio tax lot level recordkeeping inputs (reference data marker trades prices corporate actions accruals amortization etc.).
Familiarity with a full range of financial products including public and private instruments and asset classes (e.g. equity fixed derivatives loans).
AI savvy and experience with leading process improvements and transformation.
Experience with data quality tools dashboards APIs to support real-time data validation and exception handling.
Strong technology (pro dev and low code) experience with a track record of developing data-driven platforms dashboards and automated controls
Strong analysis and analytical skills to perform root cause analysis data lineage exception handling and process optimization.
Demonstrated ability to synthesis data for MI reporting on key performance indicators and other portfolio accounting data as inputs into middle office data health and identifying areas for operational optimization.
Experience with Data Quality platforms (e.g. Pan DQ Informatica PEGA Exception Management) & Business Intelligence Tools (e.g. Alteryx PowerBI etc)

Interested can contact

Required Skills:

Middle Office Data Engineering & QualityIBORABORReference Data and Core Transaction Processing DataInvestment OperationsData Managementor Middle Office data and analyticsdata validationdata cleansingdata governanceinvestment and trade lifecyclereference datamarker tradesportfolio taxdata quality toolsAlladinAlteryxPowerBIInformaticaPEGA Exception Managementsynthesis data for MI reporting

We are seeking a strategic data-driven Middle Office Data Engineering and Quality - Vice President to lead the build and evolve a best-in-class Data Engineering and Quality (DEQ) function in India. This role sits within the Public Markets Middle Office and is pivotal to ensuring data accuracy transp...

What youll bring to the role:

10 years of experience in Investment Operations Data Management or Middle Office data and analytics at a global asset manager or financial services firm.
A strong understanding of data quality principles including accuracy completeness consistency and timeliness.
Proficient in data validation data cleansing and data governance.
Experience in investment management across pooled vehicles SMAs and institutional mandates.
Demonstrated understanding of investment and trade lifecycle with focus on portfolio tax lot level recordkeeping inputs (reference data marker trades prices corporate actions accruals amortization etc.).
Familiarity with a full range of financial products including public and private instruments and asset classes (e.g. equity fixed derivatives loans).
AI savvy and experience with leading process improvements and transformation.
Experience with data quality tools dashboards APIs to support real-time data validation and exception handling.
Strong technology (pro dev and low code) experience with a track record of developing data-driven platforms dashboards and automated controls
Strong analysis and analytical skills to perform root cause analysis data lineage exception handling and process optimization.
Demonstrated ability to synthesis data for MI reporting on key performance indicators and other portfolio accounting data as inputs into middle office data health and identifying areas for operational optimization.
Experience with Data Quality platforms (e.g. Pan DQ Informatica PEGA Exception Management) & Business Intelligence Tools (e.g. Alteryx PowerBI etc)