Information Security Engineer - Data Analytics

Wintrust Financial; Rosemont (IL); Hybrid; USD 85,000 - 110,000; Full time

Job summary

A leading financial institution is seeking an Information Security Engineer – Data Analytics responsible for leveraging data to support security decisions and build predictive models. The role involves complex data analysis, visualization, and collaboration with various teams to enhance decision-making processes in a dynamic environment.

Benefits

Medical Insurance

401(k) with company match

Tuition reimbursement

Flexible Spending Account (FSA)

Qualifications

• 3+ years of hands-on experience in data analytics, with proven ability to work with large datasets.
• 3+ years of experience using Power BI or Python for reporting, analysis, or dashboard development.
• 2+ years of experience writing and optimizing SQL queries.

Responsibilities

• Extract and analyze large datasets to create predictive models and build interactive dashboards.
• Collaborate with internal teams to ensure quality data integration into platforms.
• Perform advanced data analysis and create reports to address data-related issues.

Skills

Data analysis

Machine Learning

Python

Power BI

SQL

Education

Bachelor’s or Master’s degree in Information Security, Data Science, Mathematics, or a related technical discipline

Job description

Wintrust provides community and commercial banking, specialty finance and wealth management services through its 16 bank charters and nine non-bank businesses. Wintrust delivers the sophisticated solutions of a large bank while staying true to the relationship-focused, personalized service of our community banking roots. We serve clients in all 50 states with more than 200 branch banking locations in Illinois, southwestern Florida, northwestern Indiana, west Michigan and southern Wisconsin and commercial banking offices in Chicago, Denver, Milwaukee, Grand Rapids, Mich., and in key branch banking locations throughout Illinois. Our people are the heart of our business and we are proud to rank consistently as a top place to work. Wintrust is a $66 billion financial institution based in Rosemont, Illinois, and listed on the NASDAQ Global Select Market under the symbol “WTFC.”

Why join us?

• An award-winning culture! We are rated a Top Workplace by the Chicago Tribune (past 11 years) and Employee Recommended award by the Globe & Mail (past 6 years)

• Competitive pay and discretionary or incentive bonus eligible

• Comprehensive benefit package including medical, dental, vision, life, a 401k plan with a generous company match and tuition reimbursement to name a few

• Promote from within culture

Why join this team?

• This position has the opportunity to interface with and have a positive impact on multiple areas of Wintrust's business

• We hold ourselves accountable to high standards, share wins, operate ethically, and have fun

Position Overview

The Information Security Engineer – Data Analytics plays a key role in enabling data-driven security decisions across the enterprise. Reporting to the VP of Information Security and collaborating closely with a Senior Engineer, this position focuses on leveraging Business Intelligence (BI) and Machine Learning (ML) to support high-impact initiatives. The engineer will extract and analyze large datasets from multiple sources to create predictive models, automate insights, and build interactive dashboards using tools such as Python and Splunk. This highly visible role provides exposure to various areas within Information Security, including Identity & Access Management, Fraud, and Risk, and empowers strategic planning through advanced analytics, process optimization, and clear data storytelling.

What You’ll Do

• Organizing and transforming information into comprehensible structures

• Using data to predict trends and create machine learning models that support proactive decision-making

• Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs

• Collaborating with internal teams to ensure quality data is integrated into platforms such as SIEM

• Providing documentation and technical specifications to SOC for planning and implementing new systems or upgrades

• Creating technical documentation, manuals, and policies for ongoing reference and compliance

• Performing advanced data analysis and creating reports to identify and address data-related issues

Qualifications

• Bachelor’s or Master’s degree in Information Security, Data Science, Mathematics, or a related technical discipline

• 3+ years of hands-on experience in data analytics, with proven ability to work with large datasets

• 3+ years of experience using Power BI or Python for reporting, analysis, or dashboard development

• 2+ years of experience writing and optimizing SQL queries

• Practical experience applying ML techniques to develop predictive models

Benefits

Medical Insurance • Dental • Vision • Life insurance • Accidental death and dismemberment • Short-term and long-term Disability Insurance • Parental Leave • Employee Assistance Program (EAP) • Traditional and Roth 401(k) with company match • Flexible Spending Account (FSA) • Employee Stock Purchase Plan at 5% discount • Critical Illness Insurance • Accident Insurance • Transportation and Commuting Benefits • Banking Benefits • Pet Insurance

Compensation

The estimated salary range for this role is $85,000.00 - $110,000.00, along with eligibility to earn an annual bonus. Actual salaries may vary based on several factors, such as a candidate’s qualifications, skills and experience.

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From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To build a company that reflects the communities we serve, we believe that fostering a unique and inclusive workplace where everyone feels valued and empowered to succeed will support our ongoing success. Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.