Software Engineer, Data Analyst, Data Scientist

About Anthelion Capital

Anthelion is a next generation credit investment firm building a proprietary AI and data platform that powers our investment lifecycle from underwriting to portfolio management. The platform integrates structured and unstructured data, advanced analytics, and automated workflows to drive superior, risk adjusted returns in private credit and structured finance.

We are engineers and investors working together to redefine how institutional credit decisions are made, faster, smarter, and more transparent.

We’re seeking a Software Engineer who will help design, build, and scale the core data, analytics, and workflow systems underpinning Anthelion’s investment platform. You’ll work across backend services, APIs, and data pipelines that connect borrowers, markets, and risk models into a unified intelligence layer for our investment team.

You’ll collaborate with product managers, data scientists, and credit analysts to turn financial insights into production grade systems used by portfolio managers daily.

• Design and develop high performance backend services powering our underwriting and monitoring systems (Python and Typescript).
• Build and maintain APIs and microservices that serve data and model outputs across the firm’s investment platform.
• Implement data ingestion and transformation pipelines integrating internal databases, third party APIs, and unstructured documents.
• Partner with data scientists to deploy and monitor machine learning models in production.
• Contribute to event driven architectures that enable real time alerting and portfolio updates.
• Ensure reliability, observability, and compliance across all services (logging, metrics, lineage, access control).
• Participate in architecture reviews, sprint planning, and code reviews with a collaborative and ownership driven mindset.

• 2+ years of professional software development experience in backend or full stack environments.
• Strong programming proficiency in Python or Typescript.
• Understanding of relational databases (Postgre
  
  SQL, Snowflake).
• Experience building or integrating data pipelines.
• Familiarity with cloud infrastructure and containerization.
• Knowledge of APIs and microservice design.
• Comfort collaborating with data scientists, PMs, or finance teams in a fast moving environment.
• Bonus:
  Experience in financial data systems, quant research infrastructure, or credit/risk modeling.
• Bonus:
  Experience with LLMs or integrating AI workflows.

• Work at the intersection of AI, data, and finance, directly shaping how institutional investment decisions are made.
• Build a greenfield platform with autonomy and technical depth, no legacy codebase.
• Collaborate with a multidisciplinary team of engineers, data scientists, and investors.
• Culture built around technical excellence, transparency, and real impact.

• Performance-based bonus.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company match.
• Hybrid / flexible work arrangements and a supportive work environment.

• Demonstrates a strong bias for action and executes quickly with limited guidance.
• Takes full ownership of outcomes and drives problems to resolution.
• Approaches challenges with a solutions-first mindset and delivers measurable results.
• Maintains composure under pressure while keeping momentum and focus.
• Simplifies complex issues into clear, actionable steps that move the work forward.

$110,000 to $160,000 per year