Manager, Business Intelligence - Crypto Trading

Bullish • New York, NY

3d • $160,000 - $220,000

About The Position

About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange – a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices – a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights – a digital asset media and events provider and operator of Coindesk.com, a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports to: Director, FP&A Position Overview We're seeking an experienced and innovative Manager of Business Intelligence to lead our data strategy within the dynamic landscape of cryptocurrency proprietary trading, treasury yield optimization, and decentralized finance (DeFi). In this pivotal role, you'll be at the forefront of our quantitative and financial intelligence, building sophisticated models and tools. You'll drive the development of machine learning and predictive analytics to enhance trading performance analysis, capital allocation efficiency, and risk modeling. This is a unique opportunity to not only analyze massive, high-velocity datasets, including on-chain and off-chain market data, but also to translate complex quantitative findings into clear, actionable recommendations for trading, finance, and senior leadership. If you thrive on innovation in a high-stakes environment, we want to hear from you!

Requirements

• A Bachelor’s or Master’s degree in Data Science, Computer Science, Quantitative Finance, Economics, or a related field.
• 7+ years of progressive experience in data science or quantitative analytics, preferably within a trading, hedge fund, or high-growth fintech environment.
• Demonstrated expertise in statistical modeling, time series analysis, and applying predictive analytics to financial datasets.
• Required proficiency with data visualization tools (Tableau/Looker) and expert skills in programming languages such as Python (with NumPy/Pandas) and SQL for complex data manipulation.
• Proven ability to work independently with high-frequency/high-volume data and manage end-to-end data analysis projects including database architecture, leveraging tools like BigQuer/Snowflake/dbt.
• Exceptional problem-solving, analytical, and technical communication skills, coupled with a bias for action in a challenging, fast-paced setting.

Nice To Haves

• Strong working knowledge of cryptocurrency, blockchain technology, and decentralized finance (DeFi) protocols is highly preferred.

Responsibilities

• Drive Quantitative Insights: Design, develop, and maintain quantitative models and analytical tools to support trading performance analysis (alpha/beta attribution), capital efficiency tracking, and P&L breakdown.
• Develop Strategic Intelligence: Apply advanced analytical techniques and statistical modeling to optimize liquidity analysis, treasury yield potential, and risk exposure within proprietary trading and DeFi protocols.
• Deliver Actionable Solutions: Partner with Trading, Research, Risk, and Treasury Operations teams to understand complex business problems and rapidly deploy data-driven solutions and reporting.
• Build High-Fidelity Dashboards: Design and implement dynamic, real-time dashboards and visualization tools that provide instant, high-fidelity views of metrics like trading volumes, key risk indicators, and smart contract performance.
• Mine Complex Datasets: Conduct deep dives into high-volume datasets, including exchange order book data, on-chain transaction logs, smart contract data, and market microstructure, to identify actionable trends, risks, and optimization opportunities.
• Ensure Data Quality: Take ownership of data accuracy and integrity across our market and financial data pipelines, troubleshooting data anomalies and ensuring reliable reporting.
• Influence Strategy: Present compelling findings and well-supported recommendations to senior stakeholders, using data storytelling to drive strategic decisions in a high-stakes environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees