3 дня назад
Data Science Analyst (Fintech)
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
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.
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