Quantitative Analyst, Alpha Research Team

Quantitative Analyst, Alpha Research Team Join to apply for the Quantitative Analyst, Alpha Research Team role at BMO . We are seeking a Quantitative Analyst to join our team and contribute to a wide range of quantitative initiatives. This role involves supporting portfolio management and research activities through data‑driven analysis, alpha and risk modeling, and optimization techniques. The successful candidate will collaborate with multiple investment teams and provide insights that enhance decision‑making across diverse strategies and asset classes. Key Responsibilities Alpha Research: Conduct research on investment factors, including style, risk, and performance drivers; analyze factor behavior across different market environments and asset classes. Portfolio Analysis & Risk Management: Monitor exposures, limits, and risk metrics across portfolios; develop and maintain risk models to support investment decisions. Optimization & Factor Analysis: Apply quantitative techniques to optimize portfolios and achieve target exposures. Performance Attribution: Perform detailed attribution analysis to identify sources of returns and risk; support reporting and interpretation of attribution results for investment teams. Data Management & Analytics: Work with large datasets to extract insights, clean data, and ensure data integrity; collaborate with data engineering teams to improve data pipelines and infrastructure. Cross‑Team Collaboration: Partner with multiple investment teams to provide quantitative insights and solutions; communicate complex concepts clearly to non‑quant stakeholders. Research & Innovation: Explore new models, techniques, and technologies (e.g., machine learning) to enhance investment processes; stay current with industry trends and academic research in quantitative finance. Broader Quantitative Support: Assist with ad hoc projects across asset classes, including equities, multi‑asset, and derivatives; contribute to risk analysis, factor modeling, and performance studies for various mandates. Qualifications 3‑5 years in a similar role. Strong foundation in quantitative finance, alpha research, risk modeling, and portfolio analytics. Proficiency in programming Python, SQL. Familiarity with tools such as FactSet, Bloomberg, and Axioma. Excellent problem‑solving skills and ability to work in a collaborative environment. Preferred Skills Familiarity with different investment vehicles a plus, including MFs, ETFs, Model Portfolios, etc. Experience with cloud platforms (AWS, Azure, GCP) for scalable computing. Ability to work with APIs and data integration tools. Experience with version control systems (Git) and CI/CD pipelines. Knowledge of machine learning concepts and frameworks is advantageous. Strong communication and interpersonal skills. Education Bachelor’s or Master’s degree in Financial Mathematics, Engineering, or a related field. CFA or CSC completed or in progress preferred. Salary: $78,400.00 - $144,900.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part‑time roles will be pro‑rated based on the number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance‑based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter. #J-18808-Ljbffr