Senior Investment Data Scientist

As a Senior Investment Data Scientist reporting to the Head of Data Science, you'll lead the development of cutting-edge Alternative Data products that deliver quantifiable market insights to the world's most sophisticated investment funds. You will transform non-traditional data sources into innovative products that help clients outperform in competitive markets.

You'll thrive in this position if you're intellectually curious, love solving complex problems with data, and enjoy bringing new ideas from concept to market in a fast-paced, collaborative environment.

Key Responsibilities

• Lead the development of Alternative Data products from concept through implementation, leveraging financial market expertise to create measurable alpha.
• Perform exploratory data analysis and build statistical models to transform raw data into marketable insights.
• Conduct quantitative backtests and develop whitepapers that showcase product value and investment edge.
• Collaborate with Sales and Marketing teams to bring products to market and interact directly with clients on technical questions.
• Evaluate and onboard new datasets, performing time series analysis to assess informational value.

Required Qualifications

• Bachelor's degree in computer science, engineering, mathematics, statistics, or related field, or equivalent practical experience.
• 5+ years of experience as a data scientist in capital markets or financial services.
• Strong proficiency in Python and machine learning packages (sklearn, etc.) for exploratory data analysis and statistical modeling.
• Experience with big data and cloud technologies such as Databricks, Spark, Redshift, and AWS.
• Excellent communication skills with the ability to explain complex technical concepts to diverse audiences.

Preferred Qualifications

• Master's degree in computer science, engineering, mathematics, or statistics.
• Experience with NLP, machine learning, and AI applications in financial markets.
• CFA, FRM, or similar professional designation.

This position will be located in Toronto and offers the opportunity for a hybrid work environment, providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.