Summary
A top specialty finance group is looking to hire a Credit Associate/VP, Analytics & Data Science with strong attention to detail and organizational skills, the ability to manage multiple tasks, and meet deadlines.
Company Information:
A leading private investment firm specializing in credit and real estate strategies with $2+ billion in AUM.
Job Description:
- Assist in collecting, organizing, and analyzing data related to small business lending and merchant cash advance portfolios to support credit risk assessments and portfolio management
- Conduct data mining and statistical analysis to identify trends, patterns, and key performance indicators (KPIs) within the credit portfolio
- Support the design and execution of data science models and analytics strategies for underwriting, portfolio management, and risk mitigation
- Manage predictive models and scoring algorithms to assess creditworthiness, default risk, and borrower behavior, incorporating both traditional and alternative data sources
- Collaborate with the broader Credit and Data teams to establish data-driven credit policies, risk frameworks, and key performance indicators for small business lending and merchant cash advance instruments
- Assist in the monitoring and analysis of portfolio performance, providing insights into trends, risks, and opportunities
- Stay up-to-date on industry trends, regulatory developments, and new technologies in data science, lending, and merchant cash advances, ensuring the company remains at the forefront of data-driven credit risk management.
Requirements / Qualifications:
- Bachelor’s degree in Data Science, Mathematics, Statistics, Finance, Economics, or a related field
- 2-4 years of experience in data science, analytics, or financial modeling within the financial services industry, with a strong interest in credit risk and financial markets
- Basic understanding of statistical analysis, data mining, and predictive modeling techniques, with exposure to tools such as Python, R, SQL, or similar platforms
- Familiarity with financial statements (balance sheets, income statements, and cash flow statements) and basic credit risk assessment
- Strong problem-solving skills with the ability to analyze complex datasets and generate actionable insights
- Excellent communication skills, with the ability to present data findings clearly to both technical and non-technical stakeholders
- Ability to work both independently and as part of a team, collaborating with senior analysts, data scientists, and credit professionals
