The operational backbone of the recruiting engine, owning interview scheduling and logistics to ensure a seamless, high-touch candidate experience.
Locations (5)
Austin, Texas, United States
Palo Alto, California, United States
New York City, New York, United States
Chicago, Illinois, United States
Toronto, Ontario, Canada
Compensation
The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
Quantitative Analyst for a 4-month Co-op/Internship focused on quantitative analysis, statistical modeling, and computational methods within BMO Financial Group.
Compensation
$65,000.00 - $140,000.00
Responsibilities
Develop predictive models and leverage big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity.
Collaborate 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.
Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
Requirements
Master's degree or PhD in Quantitative Finance, Financial Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative discipline
Nice to have: Applying machine learning or statistical techniques within a financial services environment
Nice to have: Exposure to cloud-based analytics platforms
Lead the financial accounting function for Bison Canada and Bison USA, overseeing monthly, quarterly, and annual close processes, financial statement preparation, and audit support.
Responsibilities
Lead monthly, quarterly, and year-end close processes
Manage preparation and review of financial statements, working papers, journal entries, account reconciliations
Review financial results and variance analysis
Maintain internal control environment
Ensure timely completion of subsidiary year-end audit working papers
Requirements
Chartered Professional Accountant (CPA) designation
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.
Lead a multifunctional Employee Services team to deliver high-quality HR services, drive process automation, and support organizational initiatives.
Responsibilities
Oversee core HR operations, including organizational and position management, leave of absences, Total Rewards and HR program support, employee and leader inquiries, transactions and escalations
Identify opportunities to simplify, standardize and automate HR processes to improve scalability, data quality and the employee and leader experience
Monitor service metrics, process performance and stakeholder feedback to identify trends and drive continuous improvement
Build and develop a high-performing, inclusive Employee Services team through coaching, mentoring, accountability and capability building
Establish effective controls and governance to ensure HR processes and automation are reliable, compliant and sustainable
Provide "white-glove" service to candidates by sending personalized pre-interview info and managing LinkedIn outreach
Manage the lifecycle of take-home assignments, maintain candidate profiles in Ashby ATS, and ensure all candidate documents are accessible
Manage recruiter calendars with precision, rearranging interviews on the fly to prioritize high-impact candidates and maximize daily capacity
Act as the point person for leadership’s urgent recruiting needs, including updating compensation bands, posting new job reqs, or coordinating training/shadowing of new interviewers
Requirements
Bachelor’s degree
Nice to have: Fast-growth startup experience
Nice to have: High-volume agency environment experience
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