Назад
Company hidden
3 дня назад

Data Science Analyst (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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 Science Analyst (Fintech): Applying statistical and machine learning techniques to consumer lending datasets and developing solutions for underwriting, marketing, and branch operations with an accent on customer outcomes, decision-making, and modern cloud-based data infrastructure. Focus on evaluating non-traditional data, identifying new customer populations, and solving complex unstructured business problems with Python or R.

Location: Hybrid in Wilmington, Delaware or Charlotte, North Carolina

Company

hirify.global provides responsible access to credit through personal loans, credit cards, and other consumer finance products.

What you will do

  • Apply statistical and machine learning techniques to diverse datasets and solve complex, unstructured business problems.
  • Develop technical solutions that improve business decisions, customer experience, and shareholder returns.
  • Evaluate non-traditional data sources to improve underwriting decisions and reduce customer interest costs.
  • Analyze marketing campaign data to identify new populations that may benefit from financial products.
  • Partner with operations teams to generate insights for branch staff and customer service.
  • Share knowledge and collaborate with a close-knit, team-oriented data science group.

Requirements

  • Current postgraduate student in engineering, data science, statistics, biostatistics, physics, economics, operations research, or computer science, graduating in Winter 2026 or Spring 2027.
  • Experience with open-source machine learning libraries in Python or R.
  • Strong communication skills, including the ability to explain technical concepts to non-technical audiences.
  • Experience working with diverse teams to deliver complex projects.
  • Creative problem-solving ability and an innovative approach to data-driven challenges.

Nice to have

  • Strong analytical, strategic thinking, communication, and leadership skills.
  • Curiosity, integrative business thinking, teamwork, and bias for action.
  • Interest in tackling real-world consumer finance challenges.

Culture & Benefits

  • Collaborative, diverse, and flexible work environment with opportunities to learn from data science and business leaders.
  • Modern cloud-based data infrastructure and career development opportunities.
  • Medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurance options.
  • Up to 4% matching 401(k), employee stock purchase plan with a 10% discount, and tuition reimbursement.
  • Paid vacation, sick leave, holidays, and volunteer time.

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 →