Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.
https://www.recruitingfromscratch.com/
Salary Range: $200,000-$280,000 base plus competitive equity.
Full-Stack Software Engineer – Credit Risk (Fintech Focus)
We’re working with an exciting, high-growth fintech company seeking a Full-Stack Software Engineer to focus on credit risk. This role is perfect for someone with prior experience deploying machine learning models into production and collaborating directly with data scientists.
As a foundational member of the engineering team, you’ll help build the models and infrastructure powering the company’s underwriting processes. If you enjoy building things from scratch, owning features end-to-end, and thrive in a fast-paced, high-impact environment, this could be the ideal opportunity for you.
Key Responsibilities
- Build the core risk models that power underwriting decisions, determining who the company lends to, how much, and under what terms.
- Own the entire process, from building pipelines and writing training loops to deploying models into real-time production code.
- Scale and optimize the underwriting service while maintaining low latency.
- Seek out and integrate new data sources (e.g., credit bureaus, fraud detection services, alternative data like social media, satellite, or street views) into production and training pipelines.
- Build infrastructure for data ingestion, model training, and deployment.
- Improve internal tooling used for financial underwriting and manual review processes.
Minimum Requirements
- Professional full-stack development experience combined with data engineering expertise.
- 3+ years of experience in Data Engineering or ML Engineering in a production setting.
- Proven track record of working closely with data scientists to deploy features and models into production.
- Experience building, maintaining, and debugging distributed machine learning infrastructure.
- Ability to design backend systems with scalability and future requirements in mind.
- Experience building internal tools to enhance operational efficiency.
- Proactive attitude and a fast learner with strong problem-solving skills.
Nice-to-Haves
- Experience in fintech or credit-related industries.
- Background as a founder, founding engineer, or in roles requiring close collaboration with the business side (e.g., forward-deployed engineer).
- Entrepreneurial mindset and interest in helping small businesses grow.
- Experience with web frameworks like Django or Next.js.
- Customer-centric mindset, with a passion for building solutions that drive impact.
This role offers a unique opportunity to work on high-impact projects that are central to the company’s business.