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Job description

BNY Mellon Investment Management is one of the world's largest investment managers. We believe that the right results begin by being relevant to every client whether that's; access the way they want it, diversifying strategies, reassurance, or quality insights for better informed decisions.
That's why we have designed a model that is truly built around investor's needs - bringing together world-class investment managers with best of breed talent and unique cultures to deliver investment outcomes. This is combined with the global scale and strength of BNY Mellon Investment Management - connecting investors with opportunities across every major asset class in more than 100 markets and 35 countries.
Today, we have eight investment management firms in our stable: Alcentra, ARX, Dreyfus Cash Investment Strategies, Insight, Mellon, Newton Investment Management, Siguler Guff and Walter Scott.
We believe this is how investing should be and we are looking for talent to help us deliver on our promise.
BNY Mellon Investment Management is part of the BNY Mellon group (the corporate brand of The Bank Of New York Mellon).

Leads the analysis and development of internal data sets to create automated data workflows, data dashboard / visualization and market intelligence for internal clients; works with business unit managers to define reporting & analytic goals. Independently designs automated workflows, data sets and visualizations / dashboards to meet internal client needs. Analyzes, reconciles, troubleshoots and reviews incoming and outgoing data to ensure accurate performance/output. Tests data quality and works directly with outside vendors to confirm they have all necessary information. Supports client-facing staff in various areas of Investment Management with ad hoc data requests and proactive analytics support. Has solid understanding of available data sources and can appropriately leverage internal and external systems, databases, etc. to develop analytics approach, describe characteristics of a visualization, and explain results of an analysis to a non-technical audience.

- Independently conducts advanced, complex data analyses and metric needs for assigned analytic tasks. Assists the business/clients to define data workflows or reporting requirements. Collaborates with management to develop and implement the techniques and automated design methodologies to be used for each type of activity/analysis. Leads data modeling, metric analysis and serves as resource to colleagues unfamiliar with particular specialized process or data sets.

- Uses BI technology tools to conduct analyses; applies techniques and develop new automated workflows or dashboard visualizations, including SQL querying and macro development to extract data for populating databases. As an advanced user, may do some light programming, system design and configuration in order set up sophisticated algorithms, data workflows or new complex dashboards or data sets. Works with management to evaluate and select the most appropriate technologies.

- Processes pre-defined data workflows to update existing dashboard reporting or to provide updated data sets to market data vendors and ensures the quality and accurate delivery/transfer of test and production files.

- Analyzes and monitors data/reports to ensure quality of and accurate transfer, integration, translation, and reporting of data, reacting promptly to data quality statistics and client inquiries. Based on analysis, executes moderate to complex data fixes, resulting in improved performance or accuracy.

- Leverages internal and external databases and dashboards for purposes of data analysis, and aggregation to examine and analyze data on clients and the marketplace to support business development, segmentation, tactical opportunity analyses and sales strategy adjustments at a firm, or channel level and provides gathered insights in presentation to sales management. Liaison and advisor to sales teams and management, providing expertise on data for market environment and helping to develop client and business strategies..

Bachelor's degree or the equivalent combination of education and experience. Advanced degree in quantitative / STEM field preferred.

7-10 years experience. Experience in quantitative or technology field and Investment management preferred. Familiarity with ETL tools (eg, Alteryx) and data visualization tools (eg. Tableau).
Job Sector
Job Position
Software Developer
London, UK Show on map
Post date
Closing date

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Be unique. Be authentic. However you prefer to say it, we really mean it. Our culture embraces people’s diverse perspectives and creates a positive environment where everyone belongs. We’re determined to build a better, more connected world for everyone.

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