Senior Data Scientist, ML & Credit Risk Modeling

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

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