Specialist III-IC Data Sciences

BMO; United States; 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 Financial Group seeks a Specialist III-IC Data Sciences to apply advanced analytics, ML, and AI to large data sets. You will build predictive models, design scalable data processes, and collaborate with analytics teams to improve decision making and customer experiences.

The role emphasizes data mining, model development, and feasibility analysis of AI/ML solutions for banking applications, with a strong focus on credit risk and big data tooling.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Applied Analytics, Actuarial Science, Operations Research or related quantitative field (foreign education accepted) plus 5 years experience in credit risk models and data manipulation.
• Master's degree in Mathematics, Statistics, Applied Analytics, Actuarial Science, Operations Research or related quantitative field (foreign education accepted) plus 3 years experience in credit risk models and data manipulation.
• Experience includes 3 years data preparation/analysis using SQL, SAS, R, Python, Tableau; 3 years building risk models for consumer/commercial credit; in-depth analysis of credit bureau data.

Responsibilities

• Mine and analyze large structured and unstructured data to obtain insights.
• Develop predictive models and leverage big data technologies to design solutions.
• Collaborate with data analytics teams to operationalize analytics into scalable solutions.
• Explore AI/ML feasibility and experiment with new data technologies for business impact.

Skills

SQL

SAS

R

Python

Tableau

Credit risk models

Data analysis

Education

Bachelor's degree

Master's degree

Job description

Application Deadline: 11/25/2026 Address: 320 S Canal Street Job Family Group: Data Analytics & Reporting 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.

The salary range for this specific position in Chicago, IL is $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

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 to [e-mail] and let us know the nature of your request and your contact information.

BMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. Everywhere we do business, we’re focused on building, investing and transforming how we work to drive performance and continue growing the good.

Who we are We’re proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management and investment services to more than 12 million customers. In Canada, the United States and across the globe, we’ll continue to build, invest and transform to drive performance that serves the good that grows.