Specialist III-IC Data Sciences

BMO•Chicago, IL

2d•$142,210 - $165,600

About The Position

BMO Bank N.A. seeks a Specialist III-IC Data Sciences professional to apply advanced analytic algorithms and technologies, including machine learning, deep learning, and artificial intelligence, to mine and analyze large sets of structured and unstructured data and generate insights. The role designs and constructs data-modeling processes and develops predictive models using big data technologies to support smarter business decisions, improve customer experience, and increase productivity. The position collaborates with data and analytics professionals and teams to optimize, refine, and scale analysis into mature analytics solutions. It contributes to data visualization and innovative data strategies for understanding consumer trends and addressing business problems. The role also mines data, extracts usable information from data sources, evaluates the feasibility of AI/ML solutions, analyzes large-scale information to identify patterns and trends, develops prediction systems and machine-learning algorithms, and investigates technologies and tools for business stakeholders. The position is based in Chicago, Illinois. The stated salary range for the specific Chicago position is $142,210–$165,600 per year. BMO also lists a broader pay range of $90,000–$180,000 and indicates that total compensation may include performance-based incentives, discretionary bonuses, and other perks and rewards. Benefits mentioned include health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.

Requirements

Bachelor’s degree in Mathematics, Statistics, Applied Analytics, Actuarial Science, Operations Research, or a related quantitative field (foreign equivalent accepted), plus five years of experience developing credit risk models and performing advanced data manipulation; alternatively, a master’s degree in one of these fields (foreign equivalent accepted), plus three years of that experience.
At least three years of experience performing data preparation and data analysis using statistical tool sets including SQL, SAS, R, Python, and Tableau.
At least 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 machine learning, deep learning, artificial intelligence, and other advanced analytics technologies to mine and analyze structured and unstructured data.
Design and construct processes for modeling data.
Develop predictive models and use big data technology to support business decisions, customer experience, and productivity.
Collaborate with data and analytics professionals and teams to optimize, refine, and scale analyses into mature analytics solutions.
Contribute to data visualization and innovative data strategies to understand consumer trends and address business problems.
Mine data and extract usable information from data sources to assess the feasibility of AI/ML solutions.
Conduct large-scale analytics to discover patterns and trends by combining modules and algorithms.
Develop prediction systems and machine-learning algorithms.
Investigate technologies and tools for developing data solutions for business stakeholders.
Develop credit risk models and perform advanced data manipulation.
Prepare and analyze data using statistical tool sets, including SQL, SAS, R, Python, and Tableau.
Develop adjudication and/or account-management credit risk models based on consumer and commercial bureaus.
Conduct in-depth analysis of credit bureau attributes and data.