AI Finance Intern (Quant Systems + Applied AI)

Singapore River, Singapore
$1,050-2,050 per month
Training
Full-time

1 month ago

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.Job DescriptionWhat You’ll Work OnAs 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 modelsDesign and test features using multi-bar, event-driven frameworksContribute to our automated strategy generation system (TERA)

Machine Learning & LLM Integration

Use LLMs to generate, validate, and improve trading featuresBuild prompt chains for feature discovery, regime detection, and EV analysisTrain and fine-tune models for contextual strategy selection

Engineering & Systems

Assist in building a C++/Python hybrid backtesting engineDesign structured logging and factor storage formatsAutomate trade logging, EV scoring, and edge ranking systemsIdeal CandidateStrong coding skills in Python (bonus: C++, NumPy, Pandas)Familiar with financial markets (stocks, crypto, options) or eager to learnSome experience with LLMs, vector databases, or prompt engineeringQuantitative mindset — understands statistics, ML, or time series analysisPassion for AI + Finance; startup-level hunger; critical thinkerBonus Points If You HaveBuilt or backtested a trading strategyWorked with tools like LangChain, OpenAI, Pinecone, or FAISSExperience with reinforcement learning or agent-based modelingRead papers like “LLM Agents for Finance”, “AutoGPT for Quant Research”, or similarWhat You’ll GainHands-on experience building an AI-first trading systemMentorship from quant traders and AI engineersOpportunity to work on real-world trading infrastructureHigh ownership, fast iteration, real impactPotential for full-time offerApplication InstructionsPlease apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.

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