Join Connor, Clark & Lunn Financial Group as a Data Scientist specializing in quantitative equity, where you'll leverage advanced analytics and machine learning to develop innovative trading strategies and enhance portfolio performance in a dynamic financial environment.

Connor, Clark & Lunn Financial Group is seeking a talented Data Scientist with a focus on quantitative equity to join our innovative investment management team. In this role, you will apply cutting-edge data science techniques to analyze market data, build predictive models, and support the development of alpha-generating strategies for our equity portfolios. You will collaborate closely with quantitative researchers, portfolio managers, and traders to translate complex data insights into actionable investment decisions.

Key responsibilities include collecting and preprocessing financial datasets, implementing machine learning models for signal generation and risk assessment, backtesting trading strategies, and optimizing algorithms for real-time execution. You will also contribute to research initiatives exploring alternative data sources and advanced AI applications in quantitative finance. Our firm values intellectual curiosity, rigorous analysis, and a commitment to excellence, providing an environment where your contributions directly impact our global investment strategies.

This position offers the opportunity to work on high-impact projects in a leading asset management firm, with access to vast resources and a supportive team dedicated to pushing the boundaries of quantitative investing.

• Advanced degree (Master's or PhD) in Computer Science, Statistics, Mathematics, or a related quantitative field
• 3+ years of experience in data science or quantitative research within the financial sector
• Proficiency in Python, R, or similar programming languages for data analysis and modeling
• Strong knowledge of machine learning algorithms, statistical modeling, and time-series analysis
• Experience with financial datasets, equity markets, and quantitative finance principles
• Excellent problem-solving skills and ability to work with large datasets
• Familiarity with tools like SQL, Pandas, NumPy, and scikit-learn
• Strong communication skills to collaborate with trading and investment teams

• Competitive salary with performance-based bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous vacation policy and flexible remote work options
• Professional development opportunities, including conferences and certifications
• Access to state-of-the-art computational resources and data platforms
• Employee assistance programs and wellness initiatives
• Retirement savings plan with company matching
• Collaborative and inclusive work culture with team-building events