Bloomberg
$140,000–$295,000 year
On-siteNew York, United States
Job Summary
Own the development and ongoing management of products within the Macro and Commodity Research Data portfolio, from initial opportunity assessment through launch and enhancement. Develop subject-matter expertise in macroeconomic or commodity datasets and work with clients, including researchers and data scientists, to translate complex workflows into clear product specifications. Evaluate new opportunities by considering client demand, competitive differentiation, and commercial potential, while contributing to strategy covering client segmentation, pricing, and monetization. Manage priorities and backlogs, collaborating with data, engineering, and sales teams to deliver products via APIs and cloud platforms that meet sophisticated research workflows.
Required Qualifications
- A minimum of five years' experience in product management, financial data, investment research, quantitative research, data analysis or a related role
- Knowledge of macroeconomic or commodity markets, preferably including experience with one or more of the following: economic indicators, surveys, government auctions, rates, foreign exchange, futures, energy, metals, agriculture, commodity balances, physical flows, positioning or alternative data
- Familiarity with quantitative, systematic or data-driven investment research, including how datasets are evaluated, combined and used in signal development, forecasting, backtesting or portfolio analysis
- Experience gathering client or user requirements and translating complex workflows into clear product or technical specifications
- Commercial judgement and an understanding of how product value is converted into adoption and revenue through effective positioning, packaging and pricing
- Strong analytical and problem-solving skills, including the ability to assess market opportunities, evaluate trade-offs and make evidence-based recommendations
- The ability to manage multiple priorities and coordinate delivery across product, data, engineering, sales and support functions
- Strong written and verbal communication skills, with the ability to explain complex data and market concepts to technical and non-technical audiences
- Familiarity with modern data platforms, APIs and cloud-based data delivery
- Working proficiency in Python, R, SQL or another language commonly used in data analysis, quantitative research or data engineering
- A bachelor's degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, engineering, business or a related discipline
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