Data Scientist (Financial Services Analytics)

Location: Chicago, Illinois, United States; hybrid with in-person work at an assigned hirify.global office at least two days per week; travel of 10–20% required.

U.S. base salary: $67,500–$112,500 annually. Regular full-time non-sales positions may also be eligible for an annual bonus plan; certain positions may qualify for long-term incentives and other payments.

Company

hirify.global provides data, analytics, and information solutions for banks, lenders, insurers, and other financial institutions.

What you will do

• Partner with internal and external cross-functional teams to develop predictive models and business intelligence solutions for hirify.global customers.
• Lead descriptive, predictive, and prescriptive analytics engagements from design and development through peer review, client presentation, implementation, and audit.
• Identify opportunities for customers to adopt hirify.global’s analytic products and services, and support proposals, sales presentations, and promotional collateral.
• Design, write, and test programs for data extraction, segmentation, and statistical analysis on large population datasets using R, Python, SQL, Hive, and Spark.
• Deliver concise analytic insights and recommendations to internal and external customers across different backgrounds and organizational levels.

Requirements

• Master’s or PhD in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or another highly quantitative field; or a Bachelor’s degree in a quantitative field with at least three years of relevant professional experience. A consistent record of academic excellence is required.
• At least one year of successful client-facing experience and at least one year of professional analytic experience, preferably in financial services.
• Interest in financial services, insurance, fraud, or digital marketing industries, demonstrated through relevant experience or internships.
• Strong analytical, critical-thinking, creative problem-solving, project-management, and time-management skills, including the ability to manage multiple assignments.
• Advanced programming aptitude and proficiency with R or Python; experience with SQL, Hive, Spark, C/C++, Java, or Ab Initio; and strong familiarity with Microsoft Office tools.
• Versatile interpersonal and communication skills, initiative, and the ability to work collaboratively in a fast-paced environment and communicate at multiple organizational levels.
• Interest in client-facing consulting roles and ability to travel 10–20%.

Nice to have

• Ability to operate effectively under modest supervision in a complex, dynamic, matrixed environment.
• Familiarity with credit bureau data and solutions.
• Work experience in financial services, insurance, fraud, or digital marketing.

Culture & Benefits

• Hybrid work with regular virtual and in-person collaboration.
• Medical, dental, vision, HSA, and FSA options, plus life, disability, legal, pet insurance, and travel accident coverage.
• Adoption, fertility, caregiver, dependent-care, and up to 12 weeks of paid parental leave benefits.
• 401(k) with employer match, ESPP, tuition reimbursement, career coaching, flexible or paid time off, and up to 12 paid holidays.
• Wellness support, professional therapy and coaching, paid volunteer time, commuter benefits, and employee discounts.
• A workplace focused on inclusion, professional development, work-life flexibility, and community impact.

Hiring process

• Qualified applicants are considered without regard to protected characteristics, and applicants with arrest or conviction records are considered in accordance with applicable law.