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Senior Data Management Professional - Data Modeling - Private Credit, Structured Notes/Exotic Products
Location
London
Business Area
Data
Ref #
10041251

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to improve our systems, products and processes - all while providing platinum customer support to our clients.


The Team:

The Data Strategy & Transformation team leads tech transformation and data management best practices guidance across the Securities group covering Fixed Income/Credit, Sanctions, Regulation, Mortgages, Foreign Exchange (FX), Listed Derivatives and Corporate Actions data products.

This is an opportunity to work with various Securities teams solving problems and devising solutions for their data modeling challenges. With that, you will be expected to navigate through unknowns and ambiguity while driving decisions and solutions.


What’s the role?

We are looking for a Senior Data Management Professional who can combine financial product cycle and data modeling expertise to help develop data-driven strategies for one of the following asset classes: Private Credit/Loans or Exotic Derivatives.
You will review current workflows and data models of these teams to identify and advocate opportunities to improve how we model the data so it fits-for-purpose to our clients needs and seamlessly integrates with their systems. You will help revamp their data models and data quality specifications to deliver best-in-class workflows that eventually help shape and build fit-for-purpose Data products.
Coupled with good communication and stakeholder management skills, you will be working very closely with partners across Product, Data and Technology departments including Product Managers, Engineering teams as well as Risk, Enterprise Product and Cross-functional teams to meet the needs of our external and internal clients.


We’ll trust you to:

  • Advise on a comprehensive and outcome driven data strategy for either: Private Credit/Loans or Exotic Derivatives in line with market trends
  • Collaborate with Data Product Owners to build project plans which incorporate Product, Enterprise and Risk objectives and taking into account both buy and sell side clients needs.
  • Collaborate with issuers, exchanges, private banks and internal teams to understand ingestions methods, validation rules and downstream data usage patterns (e.g: Enterprise Bulk Data Products; BPIPE; TOMS; AIM; DLIB etc)
  • Coordinate business requirements of senior stakeholders across various Bloomberg verticals to develop data models that seamlessly support both Bloomberg Terminal and Enterprise Bulk Data Products like BPIPE; TOMS; AIM; DLIB etc
  • Understand and identify opportunities for business expansion/new product onboarding and additional items to be included in the business planning, in alignment with Data Product Owners.
  • Monitor, analyze, and collaborate on regulatory developments while ensuring that the business/product is meeting its regulatory obligations


You’ll need to have:

  • 8+ years of experience in the financial services industry - from either Issuance, Middle Office, Platform, Risk Management Consultancy, market data providers or financial technology institutions
  • Knowledge of the characteristics that define one of more asset classes - Private Credit/Loans or Exotic Derivatives
  • Practical experience or knowledge of data validation or data reconciliation processes of Private Credit/Loans or Exotic Derivatives
  • Strong understanding of financial product cycle: from issuance to pricing, risk, bookings, to settlement, to regulations
  • Good understanding of financial data modeling or data governance
  • Extensive experience in communicating and coordinating with internal and external partners while leading large-scale projects
  • Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality


We’d love to see:

  • Strong understanding of data management cycle and ability to discuss them with stakeholders from Engineering to Product
  • Experience or familiarity with system architecture - tracking the flow of data through a large and heterogeneous system
  • Masters, DAMA CDMP or DCAM certifications

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