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
A quantitatively minded Product Specialist with expertise in indexing, market data analytics, and investment intelligence to develop and enhance portfolio construction, backtesting, indexing, and investment analytics capabilities.
Locations (2)
Mumbai, Maharashtra, India
Pune, Maharashtra, India
Responsibilities
Develop and enhance web-based and Python-powered analytics and portfolio construction tools
Support on ideation, index, product & solution design/development while assuring alignment with client demand and compliance with regulatory and firm-level requirements
Build expertise as a Product Specialist across asset classes, investment themes, index methodologies and the competitor landscape
Integrate and enhance internal and external data sources to support investment analytics, product development, and investment intelligence capabilities
Support the execution of ETF and ETC lifecycle events, including launches, changes, and terminations
A 4-month summer co-op/internship for students to use advanced analytical algorithms, machine learning, and AI to analyze large datasets, develop predictive models, and drive business decisions within the financial sector.
Compensation
$65,000.00 - $140,000.00. The above represents BMO Financial Group’s pay range and type.
Responsibilities
Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights.
Designs and constructs new processes for modeling data.
Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity.
Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.
Plays an active role in the futuristic display of data and advancement of innovative data strategies to understand consumer trends and address business problems.
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
Drives sales activities for a specific product(s) or transaction(s). Manages and develops client relationships. Provides superior client experience.
Locations (2)
Dallas, Texas, United States
Pittsburg, Pennsylvania, United States
Responsibilities
Drives sales activities for a specific product(s) or transaction(s).
Manages and develops client relationships.
Provides superior client experience.
Works closely with relationship managers, investment bankers, traders and other internal service partners to develop, market and deliver capital markets solutions to our clients.
Provides appropriate solutions based on in-depth assessment of client objectives and market conditions.
Requirements
Bachelor's in finance
Bachelor's in Economics
Bachelor's in Accounting
Nice to have: Capital Markets experience
Nice to have: Marketing to banks with 500mm+ in assets
Lead the development of AI-powered research and analytics platform for front‑office trading desks.
Compensation
The annual base salary range for this position is $175k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.
Responsibilities
Prototype and validate quantitative workflows end‑to‑end
Write high‑quality platform code and quantitative libraries
Enhance the platform’s ability to reason about markets
Continuously evaluate platform usage and drive improvements
Engage with stakeholders to discover emerging use cases
The University of Miami is seeking four tenured or tenure-track faculty members in business and management focusing on Finance, Artificial Intelligence, Business Analytics, Healthcare, Innovation, Entrepreneurship, and Sustainability.
Responsibilities
Support growth and provide scholarly and pedagogical expertise related to financial engineering, digital marketing, business analytics, data science, workforce management, artificial intelligence, healthcare analytics, sustainable business, innovation and entrepreneurship and other related fields.
Bring visibility, reputation, and additional impact to our departments and programs.
Help achieve the goal of engaging with Miami’s rapidly growing finance, technology, entrepreneurship, and innovation community.
Build the University of Miami and the Miami Herbert Business School (MHBS) into internationally recognized incubators for new, high-impact, interdisciplinary ideas.
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