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1 день назад

Data Scientist, Financial Services Consulting

67 500 - 112 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist, Financial Services Consulting (R/Python/SQL): Developing predictive risk management and business intelligence solutions for U.S. financial services customers with an accent on consumer lending analytics, statistical modeling, and large-scale data analysis. Focus on leading client engagements, designing segmentation and predictive models, and presenting data-driven recommendations to executive audiences.

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

Salary: $67,500–$112,500 annually, with potential eligibility for an annual bonus plan and other incentives.

Company

hirify.global provides data, analytics, and risk-management solutions for customers in the financial services industry.

What you will do

  • Develop predictive risk management and business intelligence solutions for fintechs, credit card issuers, collections agencies, and retail banks.
  • Lead client engagements involving descriptive, predictive, and prescriptive analysis across the consumer lending lifecycle.
  • Design programs for data extraction, segmentation, and statistical analysis on large population datasets.
  • Deliver concise analytical insights and recommendations to internal, external, and executive audiences.
  • Develop project proposals, sales presentations, and promotional materials supporting integrated customer solutions.
  • Mentor junior colleagues and manage initiatives with limited direct supervision.

Requirements

  • Master’s or PhD in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.
  • At least one year of analytical experience in financial services or a related industry.
  • Advanced programming skills in R or Python, with experience conducting sophisticated statistical analysis.
  • Experience with SQL and at least one additional language or technology such as Hive, C/C++, or Java.
  • Strong analytical, critical-thinking, problem-solving, communication, and collaboration skills.
  • Ability to work in a hybrid arrangement in Chicago with regular in-person attendance and travel approximately 10%–20%.

Culture & Benefits

  • Medical, dental, vision, HSA, and FSA options with day-one eligibility.
  • Life and disability insurance, legal plan, pet insurance, and travel accident coverage.
  • Paid parental leave, adoption assistance, fertility planning, caregiver support, and dependent-care benefits.
  • 401(k) with employer match, Employee Stock Purchase Plan, tuition reimbursement, and career coaching.
  • Flexible time off or paid time off, paid holidays, commuter benefits, charitable matching, and paid volunteer time.
  • Wellness resources including therapy, coaching, meditation, and physical, mental, social, and financial support.

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