Specialist III-IC Data Sciences

Bank of Montreal•Chicago, IL

About The Position

BMO Bank N.A. seeks a Specialist III-IC Data Sciences professional to apply advanced analytics, including machine learning, deep learning, and artificial intelligence, to large structured and unstructured datasets and derive useful insights. The role designs and builds data-modeling processes, develops predictive models, and uses big data technologies to create solutions that support better business decisions, improve customer experience, and increase productivity. The position collaborates with data and analytics professionals to refine and scale analysis into mature analytics solutions. It also contributes to innovative data strategies and new ways to display data, helping identify consumer trends and address business problems. The role mines data from valuable sources, assesses the feasibility of AI/ML solutions, conducts large-scale analysis to discover patterns and trends, and develops prediction systems and machine-learning algorithms for business stakeholders.

Requirements

Bachelor's degree in Mathematics, Statistics, Applied Analytics, Actuarial Science, Operations Research, or a related quantitative field, or foreign education equivalent, plus five years of experience developing credit risk models and performing advanced data manipulation; alternatively, a master's degree in one of these fields or a related quantitative field, or foreign education equivalent, plus three years of that experience.
Three years of experience performing data preparation and analysis using statistical tool sets including SQL, SAS, R, Python, and Tableau.
Three years of experience developing adjudication and/or account management credit risk models based on consumer and commercial bureaus.
Experience conducting in-depth analysis of credit bureau attributes and credit bureau data.

Responsibilities

Use advanced analytic algorithms and technologies, including machine learning, deep learning, and artificial intelligence, to mine and analyze structured and unstructured data.
Design and construct processes for modeling data.
Develop predictive models and use big data technology to create solutions that support smarter business decisions, improve customer experience, and drive productivity.
Collaborate with data and analytics professionals and teams to optimize, refine, and scale analysis into mature analytics solutions.
Contribute to innovative data strategies and data displays to understand consumer trends and address business problems.
Mine data and extract usable information from valuable sources to assess the feasibility of AI/ML solutions for improved data processing and use.
Conduct large-scale analytics by combining modules and algorithms to discover patterns and trends.
Develop prediction systems and machine-learning algorithms.
Investigate additional technologies and tools for developing innovative data solutions for business stakeholders.