Senior Quantitative Analyst
BMO U.S.
full-time
Posted on:
Location Type: Office
Location: Chicago • Illinois, Wisconsin • 🇺🇸 United States
Visit company websiteSalary
💰 $69,000 - $127,800 per year
Job Level
Senior
Tech Stack
AWSCloudHadoopPythonSparkSQL
About the role
- 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.
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).
Benefits
- Health insurance
- Tuition reimbursement
- Accident and life insurance
- Retirement savings plans
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical analysisdata miningdata cleansingdata transformationmachine learningdeep learningprogramming languagesvisualization techniquesexperimental designalgorithm development
Soft skills
communicationrelationship buildingstakeholder managementproblem solvingbusiness strategy understandingtraining deliveryrecommendation presentationcollaborationad-hoc analytical supportprocess improvement