[ref. h43615322] AI Finance Intern (Quant Systems + Applied AI) - Geylang
Company
Alveria Capital
jdtechcorp.com
Designation
AI Finance Intern (Quant Systems + Applied AI)
Date Listed
11 Jul 2025
Job Type
Entry Level / Junior Executive, Experienced / Senior Executive
Full/PermIntern/TS
Job Period
Immediate Start, For At Least 6 Months
Profession
Engineering
Industry
Finance
Location Name
Eu Tong Sen Street, The Central, Singapore
Address
8 Eu Tong Sen St, Singapore 059818
Map
Allowance / Remuneration
$1,050 - 2,050 monthly
Company Profile
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 Description
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
- 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
- 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
- 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
Application Instructions
Please apply for this position by submitting your text CV using InternSG.Kindly note that only shortlisted candidates will be notified.
Apply for this position