Senior Data Scientist, Credit Risk & AI/ML

BMO

Chicago (IL)

On-site

USD 142,000 - 166,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Tuition reimbursement
Retirement savings plans
Accident and life insurance

Job summary

BMO Bank N.A. seeks a Specialist III-IC Data Sciences to apply advanced analytic algorithms and technologies, including machine learning, deep learning, and AI, to mine and analyze large data sets for insights.

You will design new data models and develop predictive models to drive smarter decisions and improved customer experience. You will collaborate with analytics professionals to scale analysis into mature solutions, explore innovative data strategies, and assess AI/ML feasibility across the

Qualifications

  • 5 years of experience developing credit risk models and data manipulation.
  • 3 years data preparation and analysis using SQL, SAS, R, Python, and Tableau.
  • Experience developing adjudication and/or account management credit risk models based on consumer and commercial bureaus; analyzing bureau data.

Responsibilities

  • Mine and analyze large sets of structured and unstructured data to obtain insights.
  • Design and construct new processes for modeling data and develop predictive models.
  • Collaborate with data analytics teams to scale analytics into mature solutions.

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

Job description

BMO Bank N.A. seeks a Specialist III-IC Data Sciences to apply advanced analytic algorithms and technologies, including machine learning, deep learning, and AI, to mine and analyze large data sets for insights.

You will design new data models and develop predictive models to drive smarter decisions and improved customer experience. You will collaborate with analytics professionals to scale analysis into mature solutions, explore innovative data strategies, and assess AI/ML feasibility across the

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