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QAS Analyst – Intern – Internship
Winter 2023, 4 Months
Posted on 12/8/2022
INACTIVE
Locations
Chicago, IL, USA
Experience Level
Intern
Desired Skills
Apache Hive
Apache Spark
AWS
Business Strategy
Data Analysis
Data Structures & Algorithms
Hadoop
R
Perl
SQL
Python
Requirements
  • 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
  • Qualifications:
  • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience
  • Knowledge of visualization techniques and concepts
  • 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)
  • Experience in statistical analysis, data mining, and data cleansing / transformation
  • 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
Bank of Montreal (BMO)