Specialist III-IC Data Sciences

Bank of Montreal•Chicago, IL

1d•$142,210 - $165,600•Onsite

About The Position

BMO Bank N.A. seeks a Specialist III-IC Data Sciences 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 obtain insights. The role designs and constructs processes for modeling data, develops predictive models, and uses big data technology to create solutions that support smarter business decisions, improve customer experience, and increase productivity. The specialist works with data and analytics professionals and teams to optimize, refine, and scale analyses into mature analytics solutions. The role contributes to forward-looking data visualization and innovative data strategies for understanding consumer trends and addressing business problems. It also involves evaluating data sources and the feasibility of AI/ML solutions, conducting large-scale analyses to identify patterns and trends, developing prediction systems and machine learning algorithms, and investigating tools and technologies for innovative business solutions. The position is based in Chicago, Illinois. The stated salary range for this specific position is $142,210–$165,600 per year; the broader BMO Financial Group salary range shown is $90,000–$180,000. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. The position is subject to BMO’s equal employment opportunity and reasonable accommodation policies.

Requirements

Bachelor’s degree in Mathematics, Statistics, Applied Analytics, Actuarial Science, Operations Research, or a related quantitative field, or foreign equivalent, plus five years of experience developing credit risk models and performing advanced data manipulation; alternatively, a master’s degree in one of these fields or a related quantitative field, or foreign equivalent, plus three years of that experience.
Three years of experience performing data preparation and data analysis using statistical tool sets including SQL, SAS, R, Python, and Tableau.
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 new processes for modeling data.
Develop predictive models and use big data technology to design solutions that support business decisions, customer experience, and productivity.
Collaborate with data and analytics professionals and teams to optimize, refine, and scale analysis 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 valuable data sources to assess the feasibility of AI/ML solutions for improved data processing and use.
Conduct large-scale analytics by combining modules and algorithms to discover patterns and trends.
Develop prediction systems and machine learning algorithms.
Investigate technologies and tools for developing innovative 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, and conduct in-depth analysis of credit bureau attributes and data.