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Bloomberg

Global financial data, news, analytics provider

Enterprise Performance & Risk Implementation Lead - Enterprise Services, Financial Solutions

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Experience in buy-side investment management, asset ownership, financial technology, consulting, or enterprise software implementation, with direct exposure to portfolio analytics, risk, performance, or investment operations.
  • Strong understanding of institutional investment workflows, including portfolio management, performance measurement, attribution, risk management, and data operations.
  • Working knowledge of performance attribution methodologies and ex-ante risk concepts.
  • Familiarity with multi-asset portfolios, including fixed income, equities, and derivatives.
  • Experience leading complex implementations, transformation programmes, or strategic client engagements involving multiple stakeholders.
  • Ability to analyse discrepancies between expected and observed analytics and explain findings clearly.
  • Strong written and verbal communication skills with investment, technical, and senior business stakeholders.
  • Comfort operating under ambiguity, competing priorities, and client pressure.
  • Experience working with data feeds, portfolio data structures, analytics outputs, and technical integration workflows.
  • Exposure to APIs, Python, SQL, or other data-querying tools.

Responsibilities

  • Lead complex PORT Enterprise and Performance & Risk implementations from discovery through production go-live.
  • Define scope, success criteria, delivery milestones, and governance with client and internal stakeholders.
  • Manage data onboarding, portfolio structures, benchmarks, historical backfills, analytics configuration, and validation.
  • Make pragmatic implementation decisions when requirements are incomplete, escalating thoughtfully where trade-offs affect delivery, analytics credibility, or client outcomes.
  • Coordinate across Product, Engineering, Analytics, Data, Sales, and other Bloomberg teams to ensure delivery quality and clear ownership.
  • Configure portfolio analytics, performance attribution, and ex-ante risk workflows to align with client investment processes.
  • Translate portfolio construction, factor models, risk assumptions, and attribution methodologies into robust system configurations.
  • Validate analytics outputs with clients, investigate discrepancies, and explain results clearly to technical and investment audiences.
  • Support clients in embedding PORT into daily, monthly, governance, and regulatory workflows.
  • Act as a trusted counterpart to portfolio managers, risk professionals, performance teams, operations leads, and technology stakeholders.
  • Facilitate discussions on investment workflows, operating model design, and adoption strategy.
  • Train users across roles and seniority levels, focusing on practical application rather than feature coverage.
  • Drive adoption by helping clients understand how Bloomberg analytics can support better decision-making, oversight, and scale.
  • Identify recurring client patterns, workflow gaps, and edge cases, and translate them into product, process, and implementation improvements.
  • Partner with Product Management, Engineering, and Analytics teams to articulate client needs, validate proposed solutions, and support prioritisation where appropriate.
  • Contribute to implementation standards, documentation, internal best practice, and reusable delivery frameworks.
  • Support Sales and Account Management teams with domain credibility during strategic discussions, workshops, and proof-of-concepts where relevant.

Desired Qualifications

  • Experience with portfolio management, performance attribution, risk analytics, or investment management platforms.
  • Experience partnering with Product Management and Engineering teams to influence product direction or support enhancements.
  • Understanding of modern data architecture, cloud technologies, API ecosystems, or data visualisation tools.
  • CFA, CAIA, or equivalent investment qualification.
  • Experience presenting to senior investment, risk, or technology stakeholders.
  • Knowledge of emerging trends in portfolio analytics, investment operations, data strategy, and AI-enabled investment workflows.

About the Company

Bloomberg

Global financial data, news, analytics provider

Bloomberg provides financial data, news, and analysis to help professionals make informed decisions and operate more transparently and efficiently. Its products deliver trusted information and insights through technology platforms that connect global financial communities, enable collaboration, and support decision-making. The company differentiates itself by offering broad, reliable data and news across markets, strong customer focus, and a culture that emphasizes collaboration, broad perspective, and doing the right thing for clients, people, and communities. Bloomberg’s goal is to improve market transparency and efficiency by delivering accurate information and tools that empower customers to act confidently and ethically.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
1981

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