Product Manager, Quantitative Data Solutions

Product Manager, Quantitative Data Solutions Overview

Bloomberg is seeking an experienced Product Manager to join the Macro and Commodity Research Data team in London. This role is pivotal in building a comprehensive suite of datasets designed for quantitative and systematic investment research.

Key Responsibilities

• Oversee the development and ongoing management of products within the Macro and Commodity Research Data portfolio, from initial assessment to launch and enhancement.
• Develop expertise in relevant macroeconomic or commodity datasets and their applications in various investment workflows.
• Engage with clients, including researchers and portfolio managers, to understand their workflows and identify unmet needs.
• Translate client and market requirements into detailed product specifications, ensuring integrity and accessibility of data.
• Evaluate new product opportunities based on client demand, market size, and strategic fit.
• Contribute to the commercial strategy, including product positioning, pricing, and monetization.
• Create business cases for new products and enhancements, supported by market analysis and client evidence.
• Define product objectives and success metrics, monitoring adoption and usage to inform product roadmap adjustments.
• Manage product priorities and specifications, balancing development efforts with client commitments.
• Collaborate with various teams, including data, engineering, and sales, to ensure successful product delivery.
• Support sales teams with product expertise and market context, enhancing client understanding of product value.
• Stay informed about developments in macroeconomic and commodity markets, as well as advancements in financial data infrastructure.

Qualifications

• At least five years of experience in product management, financial data, investment research, or related fields.
• Strong knowledge of macroeconomic or commodity markets, with experience in areas such as economic indicators, foreign exchange, and commodity balances.
• Familiarity with quantitative investment research and how datasets are utilized in forecasting and portfolio analysis.
• Experience in gathering client requirements and translating complex workflows into product specifications.
• Commercial awareness and understanding of how product value translates into adoption and revenue.
• Excellent analytical and problem-solving skills, with the ability to assess market opportunities and make data-driven recommendations.
• Ability to manage multiple priorities and coordinate across various functions.
• Strong communication skills, capable of conveying complex concepts to diverse audiences.
• Knowledge of modern data platforms, APIs, and cloud-based data delivery methods.
• Proficiency in programming languages such as Python, R, or SQL, commonly used in data analysis and quantitative research.
• A bachelor’s degree or equivalent experience in economics, finance, statistics, mathematics, computer science, engineering, or a related field.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and career advancement.
• Flexible working arrangements to support work-life balance.
• Access to Bloomberg’s unique culture and values through various internal programs.

Degree Requirement: Bachelor’s

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