Enterprise Performance & Risk (PORT) Implementation Specialist

The Portfolio Buy-Side Implementation team is responsible for onboarding new and existing clients to PORT Enterprise, Bloomberg’s Portfolio and Risk Management solution.

Key responsibilities include pre-sales engagement, analytics configuration, data integration, analytics reconciliation , programme delivery and adoption,

PORT Enterprise implementations are complex and require detailed project planning, regular stakeholder engagement, and hands-on client training.

Team members are expected to understand institutional investment workflows, multi-asset class portfolios, have a strong grasp of data operations, and bring solid project management capabilities.

As a PORT Enterprise Performance & Risk Implementation Specialist, you will lead and scale Bloomberg PORT Enterprise implementations for sophisticated buy-side clients across APAC, with a particular focus on portfolio analytics, performance attribution and ex-ante risk.

You will partner closely with Sales, Product, Engineering, and Analytics teams, as well as portfolio managers, risk professionals, attribution specialists, operations teams, and technology stakeholders to understand client workflows, configure solutions, and ensure successful implementation and adoption.

This role combines relationship management, implementation leadership, project execution, investment analytics expertise, and technical problem-solving.

You will manage implementation timelines, lead projects from discovery through production go-live, support data onboarding, validation and analytics reconciliation efforts, deliver client training, and help clients embed PORT into their investment and risk management workflows.

You will also act as a trusted advisor to clients, driving adoption and ensuring successful business outcomes.

Travel may be required to support client engagements across the APAC region.

Lead end-to-end PORT Enterprise and Performance & Risk implementations from discovery through production go-live.

Define project scope, delivery milestones, governance structures, and success criteria.

Manage data onboarding, portfolio structures, benchmark setup, historical backfills, analytics configuration, and validation.

Configure portfolio analytics, performance attribution, and ex-ante risk workflows aligned with client investment processes.

Investigate analytics discrepancies and communicate findings effectively to both technical and investment stakeholders.

Act as a trusted advisor to portfolio managers, risk professionals, performance teams, and technology leaders.

Drive client adoption through workflow design, user training, and operating model recommendations.

Partner with Product, Engineering, Analytics, and Data teams to improve implementation standards and influence future product enhancements.