BMO Global Asset Management
Global Asset Management
SeniorQuantitativeResearcher
“Senior Quantitative Researcher at BMO Global Asset Management. Skills: Alpha Research, Alpha Modeling, Portfolio Optimization & Factor Analysis, Portfolio Analysis & Risk Management, Data Management & Analytics, Research & Innovation. Conduct research on alpha signals across a wide variety of datasets and investment. Analyze factor behavior across different market environments and asset classes”
What You'll Achieve.
deliver repeatable and actionable insights; achieve greater risk adjusted returns
Industry & Context.
Excellent problem-solving skills
What They're Looking For.
Must Have
4-6 years in a similar research role, foundation in quantitative finance, alpha research, risk modeling, and portfolio analytics, Experience working in environments where quantitative models are deployed into live portfolio processes and subject to operational, performance, and risk constraints, proficiency in programming languages such as Python and SQL, Proficiency in machine learning algorithms, concepts and deployments, Experience with financial datasets including fundamentals, estimates, sentiment, macro, factor risk models, transaction cost models, security masters, etc.
Nice to Have
development hygiene for research code: testing frameworks, modular design, reproducibility, and maintainable codebases, Experience with ML lifecycle tooling (e. g. , experiment tracking, model versioning / monitoring), Experience with data orchestration / scheduling tools (e. g. , Airflow, Prefect or similar) and building reliable ETL/ELT workflows, discipline around data quality checks, point-in-time handling, and traceability (data lineage / auditability) for research, Graduate degree in Financial Mathematics, Engineering or related field, CFA
What You'll Do.
Conduct research on alpha signals across a wide variety of datasets and investment
Analyze factor behavior across different market environments and asset classes
train and deploy statistical and machine learning models to deliver repeatable and actionable insights
Apply portfolio optimization techniques to achieve greater risk adjusted returns
and risk metrics across
Develop and maintain risk models to support investment decisions
Work with large datasets to extract signals
Collaborate with data engineering teams to improve data pipelines and infrastructure
and technologies to enhance investment
Stay current with industry trends and academic research in quantitative finance
Assist with ad hoc projects across asset classes
Contribute to risk analysis
and performance studies for various mandates
How You'll Work.
Team & Collaboration
Partner with multiple investment teams to provide quantitative insights and; Communicate complex concepts clearly to non-quant stakeholders; collaborate with multiple investment teams to conduct investment research, develop models and work with deployment teams for production implementation.
Communication Scope
Communicate complex concepts clearly to non-quant stakeholders; communication and interpersonal skills
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