SixPoint Capital Management
SixPoint Capital Management is a hybrid credit provider for fintech lenders in emerging and frontier markets. We are seeking a skilled quantitative developer to assist our head of Data Science and Risk in developing and managing the systems that enable us to underwrite and evaluate investment opportunities. This is a contract role, with the opportunity to become full-time for the right candidate.
Key Responsibilities
- Develop quantitative financial models under the guidance of the head of Data Science and Risk.
- Design, develop, and maintain Retool applications to enable the underwriting and evaluation of potential credit investment opportunities.
- Creating workflows in Retool with 3rd party services such as AWS Lambda, MongoDB, postgres, etc.
- Help shape the tech product roadmap in collaboration with the rest of the team.
- Develop and maintain the data stack, including data pipelines, databases, etc.
- Establishing best practices around data retention and security.
- Collaborate with internal stakeholders to gather project requirements and translate them into user-friendly applications.
- Debug, troubleshoot, and resolve any issues that arise.
Requirements
- Prior experience in quantitative finance is required. Credit experience is highly preferred.
- Bachelors degree in Mathematics, Computer Science, Statistics or another quantitative field.
- Proven experience using Retool to prototype and develop user-facing apps.
- Proficient in Python, particularly numpy, scipy, and other data science-related packages.
- Must be extremely comfortable with rapid prototyping and iterating.
- Proficiency in integrating and working with various data sources, APIs, and databases.
- Outstanding problem-solving abilities with meticulous attention to detail.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a dynamic, cross-functional team.
Expertise level
Key skills
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