Specialist III-IC Data Sciences

BMO•Chicago, IL

2d•$142,210 - $165,600

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 new processes for modeling data, develops predictive models, and uses big data technology to create solutions that support smarter business decisions, improve customer experience, and drive productivity. The Specialist collaborates with data and analytics professionals and teams to optimize, refine, and scale analysis into mature analytics solutions. The role contributes to the advancement of innovative data strategies to understand consumer trends and address business problems. It also uses data mining to extract usable data from valuable sources, assess the feasibility of AI/ML solutions, conduct large-scale analytics to discover patterns and trends, develop prediction systems and machine learning algorithms, and investigate additional technologies and tools for business stakeholders. The position is based at 320 S Canal Street in Chicago, Illinois. The stated salary range for this specific position in Chicago is $142,210–$165,600 per year. BMO also describes a broader pay range of $90,000–$180,000 and says total compensation may include performance-based incentives, discretionary bonuses, and other perks and rewards.

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 advanced analytics, machine learning, deep learning, and artificial intelligence to mine and analyze structured and unstructured data.
Design and construct processes for modeling data.
Develop predictive models and use big data technology to design solutions that improve business decisions, customer experience, and productivity.
Collaborate with data and analytics professionals and teams to optimize, refine, and scale analysis into mature analytics solutions.
Advance 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.
Conduct large-scale analytics by combining modules and algorithms to discover patterns and trends.
Develop prediction systems and machine learning algorithms.
Investigate additional technologies and tools for innovative data solutions for business stakeholders.
Develop credit risk models and perform advanced data manipulation.
Perform data preparation and analysis using statistical tool sets.
Develop adjudication and/or account management credit risk models based on consumer and commercial bureaus.
Conduct in-depth analysis of credit bureau attributes and credit bureau data.