Specialist III-IC Data Sciences

Bank N.A.; Chicago (IL); On-site; USD 142,000 - 166,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

BMO Bank N.A. in Chicago seeks a Specialist III-IC Data Sciences to apply advanced analytic techniques, including machine learning, deep learning, and AI, to mine large datasets and derive insights for smarter business decisions and improved customer experience.

The role designs new data modeling processes, develops predictive models, and uses big data technologies to deliver scalable analytics solutions. You will collaborate with teams to refine analyses and advance innovative data strategies

Qualifications

• Bachelor's degree or Master's in a quantitative field with related experience in credit risk modeling and data manipulation

Responsibilities

• Apply ML/AI techniques to large structured and unstructured data to derive insights.
• Design and build new data modeling processes.
• Develop predictive models and leverage big data tech for smarter business decisions and better customer experience.
• Collaborate with analytics teams to scale analyses into mature solutions.
• Investigate and implement innovative data strategies to understand consumer trends and business problems.
• Conduct large-scale analytics combining multiple modules and algorithms to discover patterns.

Skills

SQL

SAS

R

Python

Tableau

Education

Bachelor's degree in Mathematics, Statistics, Applied Analytics, Actuarial Science, Operations Research or related quantitative field

Master's degree in Mathematics, Statistics, Applied Analytics, Actuarial Science, Operations Research or related quantitative field

Tools

SQL

SAS

R

Python

Tableau

Job description

Application Deadline:

11/25/2026

Address:

320 S Canal Street

Job Family Group:

Data Analytics & Reporting

Overview

BMO Bank N.A. seeks a Specialist III-IC Data Sciences to use advanced analytic algorithms and technologies including machine learning, deep learning, and artificial intelligence to mine and analyze large sets of structured and unstructured data to obtain insights. Design and construct new processes for modeling data. Develop predictive models and leverage big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborate with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions. Play an active role in the futuristic display of data and advancement of innovative data strategies to understand consumer trends and address business problems. Use data mining and extract usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data. Conduct large-scale analytics of information to discover patterns and trends by combining different modules and algorithms. Develop prediction systems and machine learning algorithms, and investigate additional technologies and tools for developing innovative data solutions for business stakeholders.

Requirements:

Bachelor's degree in Mathematics, Statistics, Applied Analytics, Actuarial Science, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus five (5) years of experience developing credit risk models and performing advanced data manipulation OR Master's degree in Mathematics, Statistics, Applied Analytics, Actuarial Science, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus three (3) years of experience developing credit risk models and performing advanced data manipulation. Experience must include: 3 years of experience performing data preparation, and data analysis using statistical tool sets including SQL, SAS, R, Python, and Tableau; 3 years of experience developing adjudication and/or account management credit risk models based on consumer and commercial bureaus; and conducting in-depth analysis of credit bureau attributes and credit bureau data.

Salary range for this specific position in Chicago, IL:

$142,210-165,600 per year.

Salary:

$90,000.00 - $180,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.

To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail