Alveria Capital – AI Finance Intern (Quant Systems + Applied AI)

We’re building the future of finance — a lean, fast-moving trading operation powered by deep domain expertise and cutting-edge AI. Our focus is simple: build intelligent, adaptive, and scalable quant systems from the ground up using real-time data, contextual modeling, and human-in-the-loop AI agents.

If you’re someone who thrives on solving open-ended problems and wants to work at the intersection of machine learning, finance, and trading automation, this internship is built for you.

What You’ll Work On

As an AI Finance Intern, you’ll play a key role in prototyping and deploying components of our AI-powered quant research stack. This is not a typical finance internship — you’ll be writing real code, modeling real markets, and building tools that directly impact live trading decisions.

* Research & Development

• Reverse engineer profitable price action using AI models

• Design and test features using multi-bar, event-driven frameworks

• Contribute to our automated strategy generation system (TERA)

* Machine Learning & LLM Integration

• Use LLMs to generate, validate, and improve trading features

• Build prompt chains for feature discovery, regime detection, and EV analysis

• Train and fine-tune models for contextual strategy selection

* Engineering & Systems

• Assist in building a C++/Python hybrid backtesting engine

• Design structured logging and factor storage formats

• Automate trade logging, EV scoring, and edge ranking systems

Ideal Candidate

• Strong coding skills in Python (bonus: C++, NumPy, Pandas)

• Familiar with financial markets (stocks, crypto, options) or eager to learn

• Some experience with LLMs, vector databases, or prompt engineering

• Quantitative mindset — understands statistics, ML, or time series analysis

• Passion for AI + Finance; startup-level hunger; critical thinker

Bonus Points If You Have

• Built or backtested a trading strategy

• Worked with tools like LangChain, OpenAI, Pinecone, or FAISS

• Experience with reinforcement learning or agent-based modeling

• Read papers like “LLM Agents for Finance”, “AutoGPT for Quant Research”, or similar

What You’ll Gain

• Hands-on experience building an AI-first trading system

• Mentorship from quant traders and AI engineers

• Opportunity to work on real-world trading infrastructure

• High ownership, fast iteration, real impact

• Potential for full-time offer