Senior Analyst, Data Sciences

BMOChicago, IL
89d$69,000 - $127,800

About The Position

The Senior Analyst, Quantitative Analysis, Strategy and Insights in Corporate Treasury is ideal for candidate who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability, liquidity, and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution. The successful candidate is someone who can effectively apply knowledge of advanced analytic algorithms and modeling techniques (e.g. large data processing, statistical modeling, machine learning) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. They should confidently and clearly communicate and summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups (i.e., story-telling skills). The role also involves driving innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in alignment with Data & AI governance frameworks of BMO.

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).
  • 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.

Nice To Haves

  • Deep learning.
  • Machine learning.
  • Trust, bias and ethics.
  • Creative thinking.
  • Critical thinking.
  • Intermediate level of proficiency in Mathematics, statistics & operations research.
  • Big data.
  • Data visualization.
  • Computational thinking and programming.
  • Data wrangling.
  • Data preprocessing.
  • Complex problem solving.
  • Analytical acumen.
  • Creative reasoning.

Responsibilities

  • Applies scripting / programming skills to assemble various types of source data into well-prepared datasets.
  • Develops agreed analytical solution by applying suitable statistical & machine learning techniques.
  • Summarizes statistical findings and draws conclusions, presents actionable business recommendations.
  • Presents findings & recommendations in a simple, clear way to drive action.
  • Uses appropriate algorithms to discover patterns.
  • Performs experimental design approaches to validate findings or test hypotheses.
  • Automates and enhances processes to generate scheduled reports detailing accurate balance sheet position.
  • Works with various data owners to discover and select available data from internal sources and external vendors.
  • Documents data flow, systems and processes in data collection to improve efficiency.
  • Works with stakeholders to identify business requirements and expected outcomes.
  • Develops analytical solutions and makes recommendations based on business strategy.
  • Builds effective relationships with internal/external stakeholders.
  • Provides advice and guidance on implementation of analytical solutions.
  • Supports development and execution of strategic initiatives in collaboration with stakeholders.
  • Leads/participates in the design, implementation and management of core business/group processes.

Benefits

  • Health insurance
  • Tuition reimbursement
  • Accident and life insurance
  • Retirement savings plans

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

Credit Intermediation and Related Activities

Education Level

Master's degree

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