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3 дня назад

Data Scientist, Financial Services Consulting (Fintech)

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 (Fintech): Developing predictive risk management and business intelligence solutions for US financial services customers with an accent on consumer lending analytics, statistical modeling, and large-scale data analysis. Focus on designing R, Python, and SQL programs, leading descriptive, predictive, and prescriptive client engagements, and presenting data-driven recommendations to executive audiences.

Location: Chicago, Illinois; hybrid position with virtual work and in-person responsibilities at an assigned hirify.global office at least two days per week. Travel approximately 10%–20% based on business needs.

Salary: $67,500–$112,500 annually, plus potential bonus and other incentives according to applicable plans.

Company

hirify.global is a corporation providing data, analytics, risk management, and financial services solutions.

What you will do

  • Partner with internal and external cross-functional teams to develop business initiatives and value-added analytics products for US financial services customers, including fintechs, credit card issuers, collections agencies, and retail banks.
  • Lead client engagements involving descriptive, predictive, and prescriptive analysis across the consumer lending portfolio lifecycle.
  • Design and write programs for data extraction, segmentation, and statistical analysis using large population datasets.
  • Deliver concise analytical insights and recommendations through presentations for customers, internal stakeholders, and executive audiences.
  • Develop project proposals, sales presentations, promotional collateral, and adoption strategies for hirify.global’s analytics products and services.
  • Mentor and train junior colleagues while managing initiatives under limited direct supervision.

Requirements

  • Master’s or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field, with a demonstrated record of academic excellence.
  • At least one year of analytical experience in Financial Services or a related industry.
  • Strong analytical, critical-thinking, and creative problem-solving skills, including the ability to evaluate complex information and develop data-informed solutions.
  • Versatile interpersonal and communication skills, including communication across organizational levels and with external stakeholders in a collaborative, fast-paced environment.
  • Advanced programming skills and mastery of a statistical programming language such as R or Python.
  • Experience with additional programming and data-manipulation languages, including SQL, Hive, C/C++, or Java.
  • Ability to travel approximately 10%–20% based on business needs.

Culture & Benefits

  • Hybrid work with virtual and in-person collaboration and a focus on a high-performance, inclusive environment.
  • Medical, dental, and vision coverage from day one, with supplemental options and eligible dependent coverage.
  • Health and wellness support including HSA/FSA accounts, therapy, coaching, emotional well-being programs, and guided meditation.
  • Paid parental leave, adoption and fertility support, caregiver resources, and Dependent Care FSA options.
  • 401(k) with employer match, Employee Stock Purchase Plan, tuition reimbursement, career coaching, and financial wellness resources.
  • Flexible or paid time off, up to 12 paid holidays, commuter benefits, volunteer time off, employee discounts, and charitable gift matching.

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