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Manager, Quantitative Analysis, Strategy, and Insights

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BMO

Oct 8

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity
  • Quick Apply

AI generated summary

  • You need 4-6 years in quantitative analysis, skills in statistical and data analysis, knowledge of visualization tools, distributed computing, and programming languages, along with strong communication and problem-solving skills.
  • You will apply advanced analytics and machine learning to improve business decisions, communicate insights, develop AI products, and collaborate with stakeholders to implement robust analytical solutions.

Requirements

  • Typically between 4 - 6 years of relevant experience and graduate-level degree in related field of study or an equivalent combination of education and experience.
  • Experience in statistical analysis, data mining, and data cleansing / transformation.
  • Knowledge of visualization techniques and concepts (e.g, Power BI, SpotFire).
  • Knowledge of distributed computing and/or distributed databases.
  • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
  • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
  • Technical proficiency gained through education and/or business experience.
  • Verbal & written communication skills - In-depth.
  • Collaboration & team skills - In-depth.
  • Analytical and problem solving skills - In-depth.
  • Influence skills - In-depth.
  • Data driven decision making - In-depth.

Responsibilities

  • Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity.
  • Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups.
  • Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.
  • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
  • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
  • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
  • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
  • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
  • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
  • Summarizes statistical findings and draws conclusions, presents actionable business recommendations.
  • Presents findings & recommendations in a simple, clear way to drive action.
  • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
  • Performs experimental design approaches to validate finding or test hypotheses.
  • Uses the appropriate algorithms to discover patterns.
  • Builds effective relationships with internal/external stakeholders and ensures alignment.
  • Supports development of tools and delivers training for data analytics and AI.
  • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
  • Leads/participates in the design, implementation and management of core business/group processes.
  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently on a range of complex tasks, which may include unique situations.
  • Broader work or accountabilities may be assigned as needed.

FAQs

What is the primary focus of the Manager, Quantitative Analysis, Strategy, and Insights position?

The primary focus is to apply advanced analytic algorithms and technologies to enhance predictions, improve customer experience, and drive productivity while delivering actionable insights for smarter business decisions.

What kind of experience is required for this role?

Typically, 4 to 6 years of relevant experience is required, along with a graduate-level degree in a related field or an equivalent combination of education and experience.

Which programming languages should candidates be proficient in?

Candidates should have experience with programming languages such as SQL, Python, R, SAS, SPSS, and Perl.

What types of data are candidates expected to work with?

Candidates are expected to work with various types of source data including unstructured, semi-structured, and structured data from internal and external sources.

What tools or technologies are preferred for statistical analysis and machine learning?

Preferred tools/technologies include distributed computing languages like Hive, Hadoop, and Spark, as well as cloud technologies like AWS Sagemaker and AzureML.

Is experience with data visualization techniques required?

Yes, knowledge of visualization techniques and concepts such as Power BI and SpotFire is necessary.

What types of skills are emphasized in this position?

Skills emphasized in this position include strong analytical and problem-solving skills, effective communication, collaboration and team skills, and influence skills.

How does BMO support employee development?

BMO supports employee development through in-depth training, coaching, manager support, and networking opportunities to help employees gain valuable experience and broaden their skillset.

What benefits does BMO offer to its employees?

Benefits include health insurance, tuition reimbursement, accident and life insurance, retirement savings plans, and performance-based incentives.

What is the salary range for this position?

The salary range for this position is between $81,600.00 and $151,200.00, depending on factors like location, skills, experience, education, and qualifications.

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BMO

Finance
Industry
10,001+
Employees
1817
Founded Year

Mission & Purpose

At BMO, banking is our personal commitment to helping people at every stage of their financial lives. The truth is, people’s needs change: so we change too. But we never change who we are. Which means we’ll never waiver from providing our customers the best possible banking experience in the industry. Our incredible team of over 46,000 people is just the tip of the iceberg. You should get to know us. We’re here to help.