Join Connor, Clark & Lunn Financial Group as a Quantitative Data Analyst, where you'll leverage advanced statistical models and data analytics to drive investment strategies and risk management in a dynamic financial environment.

Connor, Clark & Lunn Financial Group is seeking a talented Quantitative Data Analyst to join our innovative investment management team. In this role, you will play a pivotal part in developing and implementing quantitative models that inform our global investment decisions. You will analyze vast datasets from financial markets, identify patterns and trends, and contribute to portfolio optimization strategies that enhance returns while managing risks effectively.

Key responsibilities include building predictive models using advanced statistical techniques, conducting back-testing of trading strategies, and collaborating with portfolio managers to integrate data-driven insights into real-world applications. You will work with cross-functional teams to ensure data integrity and accuracy, while staying abreast of emerging technologies and methodologies in quantitative finance.

This position offers the opportunity to work on high-impact projects in a fast-paced environment, supporting our commitment to excellence in asset management. If you have a passion for numbers and a drive to influence financial outcomes through rigorous analysis, we encourage you to apply.

• Master's degree in Quantitative Finance, Statistics, Mathematics, or a related field; PhD preferred.
• 3+ years of experience in quantitative analysis within the financial sector.
• Proficiency in programming languages such as Python, R, or MATLAB for data modeling and analysis.
• Strong knowledge of statistical methods, machine learning algorithms, and financial econometrics.
• Experience with big data tools and databases (e.g., SQL, Hadoop).
• Excellent analytical skills with the ability to interpret complex datasets and provide actionable insights.
• Familiarity with financial markets, derivatives, and risk assessment models.
• Strong communication skills to collaborate with investment teams and present findings.

• Competitive monthly salary range with performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Generous retirement savings plan with employer matching.
• Flexible remote work options and professional development opportunities.
• Paid time off, including vacation, sick days, and parental leave.
• Access to cutting-edge financial research tools and ongoing training programs.
• Collaborative and inclusive work culture with team-building events.