Bring order and structure to structured and unstructured data and prepare analysed data in visual formats in a manner that is accessible to clients and other stakeholders to solve multiple and complex business problems utilizing cloud-scale advanced statistical techniques and Business Intelligence analyses. Lead big-data problem solving to collect, analyze, and present findings and solutions, leading junior team members, and working with a wide variety of clients to deliver technology consulting services.
Compensation
The base salary for this job is $228,235.00 per year.
Responsibilities
Bring order and structure to structured and unstructured data and prepare analyzed data in visual formats
Lead big-data problem solving to collect, analyze, and present findings and solutions
Lead junior team members
Serve as the go-to resource for understanding clients’ problems through data gathering and analysis
Solve complex analytical problems to bring data to insights and enable the use of Machine Learning and Artificial Intelligence at scale
Quantitative Analyst co‑op/internship focused on data analytics, modeling, and machine learning within BMO’s financial services.
Compensation
$65,000.00 - $140,000.00
Responsibilities
Develop and leverage APIs to extract, integrate, and automate data workflows
Create data visualizations, reports, and interactive dashboards
Apply Bayesian statistics and machine learning techniques to real‑world problems
Design and construct new processes for modeling data
Develop predictive models and machine learning algorithms
Requirements
Master's degree or PhD in Quantitative Finance, Financial Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or related quantitative discipline
Nice to have: machine learning in financial services
Nice to have: cloud‑based analytics platforms
Nice to have: advanced quantitative research methods
Senior Operations Manager for the Global Events COE, responsible for operational backbone, data-driven insights, scalable frameworks, and ensuring event programs deliver maximum business value.
Compensation
$163,200.00 - $264,000.00/yr
Responsibilities
Lead high-value strategic initiatives and operational reporting frameworks
Direct end-to-end operational cadence and intake governance across global event lifecycle
Act as data authority for events organization, developing and owning critical dashboards
Track experiential business impact and provide actionable recommendations to executive audiences
Direct event audits and quarterly format optimization to advise leadership on portfolio investments
Requirements
Bachelor’s degree in Business, Marketing, Operations, Analytics, or a related field
Nice to have: Experience in Enterprise Technology or Cybersecurity sector
Develop quantitative models, data visualizations, and machine learning solutions to support business decision-making within BMO’s financial services.
Compensation
$65,000.00 - $140,000.00
Responsibilities
Develop predictive models and machine learning algorithms
Create data visualizations, reports, and interactive dashboards
Extract, integrate, and automate data workflows using APIs
Analyze large datasets to uncover patterns and trends
Provide data-driven recommendations to business leaders
Requirements
Master's degree in Quantitative Finance, Financial Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or related discipline
PhD in related discipline
Nice to have: Machine learning in financial services
Nice to have: Cloud-based analytics platforms
Nice to have: Advanced quantitative research methods
Manage portfolio risk, oversee trade execution, supervise research and development team, design and develop quantitative investment strategies, conduct research and expand trading universe.
Responsibilities
Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
Overseeing automated trade execution and monitoring transaction costs.
Supervising a small team of researchers and developers on a daily basis.
Designing, researching, and managing sophisticated investment strategies by creating and engineering advanced quantitative financial computer modeling systems.
Performing research to acquire historical and production data sources needed to build investment models.
Requirements
Advance degree (Masters or Ph.D.) in a computational or analytical field.
Senior Energy Market Consultant responsible for leading a team of analysts to develop and defend power price forecasts, power plant proformas and financial projections using grid software models, issuing detailed market reports, growing business with new and existing clients, mentoring junior staff, and contributing to ICF’s thought leadership.
Responsibilities
Lead a dedicated team of analysts to perform detailed energy market modelling and long-term forecasting efforts for market prices, plant/grid operations, and plant economics
Manage multiple projects with overlapping timelines while ensuring excellent quality, consistency, and client support
Review and provide direct feedback to the team on quantitative modeling approaches and results
Communicate effectively with a diverse client base as a subject-matter expert in US wholesale power markets
Grow ICF’s business by leading interactions with potential clients and developing proposals
Manage Agency MBS portfolios, lead investment policy implementation, portfolio construction, risk positioning, and client education within the Treasury Asset Management Department.
Responsibilities
Lead or contribute to investment policy implementation, portfolio construction, and active risk positioning for fixed‑income portfolios benchmarked to an agency MBS index
Provide expertise in investment policy, asset allocation, best practices, market strategy and outlook, and portfolio and performance reviews
Generate and implement high‑conviction investment ideas across Agency MBS sectors
Exercise sound judgment in assuming and managing duration, spread, convexity, and liquidity risks
Monitor portfolio risk exposures and performance drivers on an ongoing basis
Requirements
Master’s degree in business, finance, economics, mathematics, statistics, or a related field
Nice to have: CFA or similar professional certification
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