Product Manager, Quantitative Data Solutions

We are establishing a new Macro and Commodity Research Data vertical and are looking for an experienced Product Manager to help build and develop its product portfolio. This role requires an understanding of FX, Rates or commodity markets, the data used to analyse them, and the workflows through which investment managers turn data into signals, forecasts, portfolio decisions and risk views.

What You Will Do

You will work on products spanning areas such as economic releases, auctions, prediction markets, macro risk factors, commodity supply & demand, physical flows, positioning, outages and other market-relevant datasets.

Why It Might Be a Fit

The successful candidate will also understand how AI, modern research tools and data infrastructure are changing the way clients discover, evaluate and consume financial data.

Requirements

• 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.
• 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.
• 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.

Benefits

• Benefits + Bonus
• Paid holidays
• Paid time off
• Medical
• Dental
• Vision
• Short and long term disability benefits
• 401(k) +match
• Life insurance
• Various wellness programs