Ai Finance Intern

1 week ago

Singapore Alveria Capital Full time

Company

Alveria Capital

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

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

Application Instructions

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