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Part Time Data Scientist Risk Jobs in Naperville, IL

Bank of Montreal

Principal Data Scientist

Chicago, IL · On-site

$122.40K - $228K/yr

Collaborates with data scientists and other stakeholders to understand data and modeling needs and ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Alliant

Principal Credit Risk Analyst

Chicago, IL · Hybrid

$119.40K - $204.60K/yr

Analyze data to identify the quantitative and qualitative factors driving the credit risk for ... Science or related * Minimum - 6 Years of Analytics, Credit Risk or related * In Lieu of Education ...

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

Adjunct Faculty in Data Science Full-time Faculty Positions Full-time faculty positions will be ... Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100.50K/yr

... with data scientists on the development and implementation of AI/ML models. Prepare and analyze ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88.60K - $111.80K/yr

... with data scientists on the development and implementation of AI/ML models. Prepare and analyze ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Chicago Public Schools

Data Manager

Chicago, IL · On-site

... part-time/miscellaneous employees. * Provide routine support, professional development ... Manage staff members to ensure successful implementation of key surveys, including the Youth Risk ...

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Part Time Data Scientist Risk information

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$37.4K

$122.6K

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How much do part time data scientist risk jobs pay per year?

As of May 28, 2026, the average yearly pay for part time data scientist risk in Naperville, IL is $122,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist in Risk, and why are they important?

To thrive as a Part Time Data Scientist in Risk, you typically need expertise in statistics, data analysis, and programming languages like Python or R, along with a background in mathematics, statistics, or a related field. Familiarity with risk modeling tools, machine learning frameworks, and data visualization platforms such as SQL, TensorFlow, or Tableau is important. Strong problem-solving abilities, attention to detail, and clear communication help you translate complex data into actionable risk insights. These skills ensure accurate risk assessment and enable informed decision-making in dynamic business environments.

What are some unique challenges faced by part-time data scientists working in risk management roles?

Part-time data scientists in risk management often navigate challenges such as balancing workload within limited hours and ensuring timely delivery of critical analyses. Due to the high-stakes nature of risk assessment, they must prioritize tasks efficiently and maintain clear communication with full-time colleagues to stay aligned on evolving project needs. Additionally, they may need to quickly adapt to new data sources or regulatory requirements, making strong organizational skills and proactive learning essential. Collaboration with cross-functional teams, like compliance and engineering, is also key to ensuring comprehensive risk solutions.

What does a Part Time Data Scientist in Risk do?

A Part Time Data Scientist in Risk analyzes data to help organizations identify, assess, and mitigate potential risks. They use statistical models, machine learning, and data visualization to uncover patterns that may signal financial, operational, or cybersecurity risks. Working part time, they may focus on specific projects such as fraud detection, credit scoring, or compliance monitoring. They collaborate with other teams to develop actionable insights and often create reports or dashboards to communicate their findings.
What are the most commonly searched types of Data Scientist Risk jobs in Naperville, IL? The most popular types of Data Scientist Risk jobs in Naperville, IL are:
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What cities near Naperville, IL are hiring for Part Time Data Scientist Risk jobs? Cities near Naperville, IL with the most Part Time Data Scientist Risk job openings:
Part Time Data Scientist Risk jobs near you
Principal Data Scientist

Principal Data Scientist

Bank of Montreal

Chicago, IL • On-site

$122.40K - $228K/yr

Full-time, Part-time

Medical, Life, Retirement

Posted 8 days ago

Job description

Application Deadline:
Address:
320 S Canal Street
Job Family Group:
Data Analytics & Reporting
The role is hybrid based in our Chicago office.
Job Description
Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.
  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
  • Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
  • Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.
  • Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.
  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
  • Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
  • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
  • Ensures alignment between values and behaviours that fosters diversity and inclusion.
  • Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

Qualifications:
Advanced level of proficiency:
  • Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.
  • 5+ years of data science experience.
  • In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.
  • Data visualization and polished communication skills.
  • Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.
  • Highly analytical, technically proficient, and able to learn new tools and ML models quickly.
  • Trust, bias and ethics.
  • Collaboration & team skills; with a focus on cross-group collaboration.
  • Able to manage ambiguity.
  • Data driven decision making.
  • Experience with GenAI LLM models
  • Experience with MLOps, building workflows for model retraining, monitoring and deploying
  • Experience with ML frameworks such as TensorFlow, PyTorch
  • Experience with cloud-based data platforms such as AWS or Azure
  • Experience with data visualization tools such as Power BI

Salary:
$122,400.00 - $228,000.00
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
BMO is proud to be an equal employment opportunity employer. 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 BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
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About BMO

Sourced by ZipRecruiter

BMO, or Bank of Montreal, is one of the biggest multinational banking and financial services corporations in North America. Developed in 1817, BMO's American headquarters are located ideally in Chicago, Illinois while its main world headquarters are situated in Montreal. The bank operates in a multitude of sectors including personal and commercial banking, wealth management and investment banking products and solutions. Over the years, BMO has been recognized for its commitment to doing what's right for its customers, employees, and society.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

Chicago, IL, US

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