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Senior Analyst, Quantitative Analysis, Strategy, and Insights

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BMO

Oct 8

  • Job
    Full-time
    Junior Level
  • Data
    Banking & Finance
  • Toronto
  • Quick Apply

AI generated summary

  • You need 1-2 years' experience, a graduate degree, skills in statistical analysis, programming (SQL, Python), visualization (Power BI), and familiarity with cloud tech and machine learning algorithms.
  • You will compile and analyze diverse data sets, develop statistical models, present actionable insights, automate reporting, and collaborate with stakeholders on analytical solutions and strategic initiatives.

Requirements

  • Typically between 1-2 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).
  • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, Matlab) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
  • 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).
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently on a range of complex tasks, which may include unique situations.
  • Data driven decision making - In-depth.
  • Verbal & written communication skills - In-depth.
  • Collaboration & team skills - In-depth.
  • Analytical and problem solving skills - In-depth.
  • Influence skills - In-depth.
  • Technical proficiency gained through education and/or business experience.

Responsibilities

  • 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.
  • Supports development of tools and delivers training for data analytics and AI.
  • Uses the appropriate algorithms to discover patterns. Performs experimental design approaches to validate finding or test hypotheses.
  • Provides timely ad-hoc analytical support to business and other key stakeholders.
  • Automates and enhances processes to generate scheduled reports — detailing accurate balance sheet position and actionable analytical insights to stakeholders in an efficient and timely manner.
  • 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.
  • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
  • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes. Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
  • Builds effective relationships with internal/external stakeholders and ensures alignment. Provides advice and guidance to assigned business/group on implementation of analytical solutions.
  • 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.
  • Broader work or accountabilities may be assigned as needed.

FAQs

What is the main focus of the Senior Analyst, Quantitative Analysis, Strategy, and Insights role?

The main focus is on developing, enhancing, implementing, and maintaining quantitative models and analytics suites using econometric and machine learning techniques for asset liability, liquidity, interest rate risk management, customer analytics, profitability, and stress testing.

What are the key responsibilities of this position?

Key responsibilities include applying programming skills to prepare datasets, developing analytical solutions using statistical and machine learning techniques, summarizing statistical findings, supporting the development of analytical tools, and providing timely analytical support to stakeholders.

What qualifications are required for this role?

Candidates typically need 1-2 years of relevant experience and a graduate-level degree in a related field, along with experience in statistical analysis, data mining, programming languages (e.g., SQL, Python, R), and knowledge of visualization techniques and machine learning algorithms.

Are there opportunities for professional development and training in this position?

Yes, the role includes supporting the development of tools and delivering training for data analytics and AI, along with resources for gaining valuable experience and skill set expansion.

What is the salary range for the Senior Analyst position?

The salary range is $65,400.00 - $121,800.00, which varies based on factors such as location, skills, experience, education, and qualifications.

Does BMO offer additional benefits beyond salary?

Yes, BMO offers a total compensation package that may include performance-based incentives, discretionary bonuses, health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.

Is there an emphasis on collaboration and teamwork in this role?

Yes, the role requires building effective relationships with internal and external stakeholders and supports the development and execution of strategic initiatives in collaboration with them.

What kind of data is utilized in this position?

The role involves working with a variety of data types including unstructured, semi-structured, and structured data collected from both internal sources and external vendors.

Does BMO promote an inclusive workplace?

Yes, BMO is committed to an inclusive, equitable, and accessible workplace and values learning from each other’s differences to gain strength from diverse perspectives.

How can I apply for this role?

Candidates can apply for the position through BMO’s job portal at https://jobs.bmo.com/ca/en.

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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.