Назад
Company hidden
2 дня назад

Data Scientist (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
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Scientist (Fintech): Building predictive models and advanced analytics solutions for financial services clients with an accent on credit risk, fraud, insurance, marketing, and large-scale data analysis. Focus on designing repeatable analytical frameworks, validating models, translating findings into business recommendations, and presenting insights to technical and non-technical audiences.

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

Salary: $67,500–$112,500 annually

Company

hirify.global provides data and analytics solutions that help financial institutions and other organizations manage risk, prevent fraud, and make informed business decisions.

What you will do

  • Develop predictive models and advanced analytics solutions for credit risk, fraud, insurance, and marketing use cases.
  • Lead analytics engagements from project design and development through implementation, validation, and client presentation.
  • Partner with internal stakeholders, sales teams, and financial services clients to identify opportunities for data-driven business value.
  • Perform descriptive, predictive, and prescriptive analyses using large-scale datasets.
  • Translate analytical findings into actionable recommendations for technical and non-technical audiences.
  • Build data extraction, segmentation, statistical analysis, and repeatable analytical processes that improve efficiency and scalability.

Requirements

  • Master’s degree or PhD in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or another highly quantitative field.
  • At least one year of experience in analytics, data science, statistical modeling, or quantitative analysis.
  • Understanding of U.S. financial services risk management practices and data-driven business decisions.
  • Experience in financial services, insurance, fraud, credit risk, digital marketing, or a related industry.
  • Proficiency with Python or R, SQL, large datasets, and distributed platforms such as Hive and Spark.
  • Knowledge of machine learning, predictive analytics, statistical modeling, and business intelligence techniques.

Nice to have

  • Experience with credit bureau data, credit risk models, or financial services analytics.
  • Exposure to Java or C/C++.
  • Client-facing consulting or analytics advisory experience.
  • Knowledge of fraud, insurance, or marketing analytics solutions.

Culture & Benefits

  • Hybrid work environment with flexibility and collaboration across global teams.
  • Medical, dental, and vision coverage with HSA and FSA options from day one.
  • 401(k) with employer match, employee stock purchase plan, tuition reimbursement, and career coaching.
  • Paid parental leave, caregiver support, adoption assistance, and fertility planning coverage.
  • Paid holidays, flexible or paid time off, commuter benefits, wellness programs, and employee assistance resources.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →