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1 день назад

Lead Data Scientist (Fintech)

100 000 - 160 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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
Lead Data Scientist (Fintech): 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 programming. Focus on leading client engagements, designing segmentation and predictive analyses, and translating complex findings into customer and executive recommendations.

Location: Chicago, Illinois, United States; hybrid with in-person work at an assigned hirify.global office at least two days per week

Salary: $100,000–$160,000 annually

Company

hirify.global provides data, analytics, and risk-management solutions for financial services and other business customers.

What you will do

  • Develop predictive risk management and business intelligence solutions for credit card issuers, auto and mortgage lenders, collections agencies, and retail banks.
  • Lead client-facing descriptive, predictive, and prescriptive analytics engagements across the consumer lending portfolio lifecycle.
  • Design programs for data extraction, segmentation, and statistical analysis on large population datasets.
  • Present analytical insights and recommendations to customers, internal stakeholders, and executive audiences.
  • Develop project proposals, sales presentations, and promotional materials supporting adoption of analytics products and services.
  • Mentor junior colleagues and manage multiple 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 four years of professional analytical experience in financial services or a related industry.
  • At least three years of successful client-facing experience.
  • Advanced programming skills, including mastery of R or SAS and experience with SQL, Hive, Pig, Python, C/C++, or Java.
  • Familiarity with relational, MPP, and/or Hadoop data-management frameworks, Linux, and Microsoft Office tools.
  • Strong project-management skills and the ability to manage multiple assignments effectively.

Nice to have

  • Understanding of current financial-services industry challenges and trends to identify customer analytical needs and business opportunities.

Culture & Benefits

  • Hybrid work with virtual and in-person collaboration.
  • Medical, dental, vision, HSA, and FSA options available from day one.
  • 401(k) with employer match, employee stock purchase plan, tuition reimbursement, and career coaching.
  • Paid parental leave, caregiver support, flexible or paid time off, and up to 12 paid holidays.
  • Wellness resources, therapy and coaching support, commuter benefits, and paid volunteer time.

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