Remote Quantitative finance Jobs – 13 Open Jobs Today

Quantitative Developer
Qsentia.com —Remote
- Part-time
- Remote
- Data analysis skills
- Research
- Master's degree
- Flexible schedule
Quick apply
Chief Manager - Business Strategy
AxisMaxlife —Remote
- Remote
- Microsoft Powerpoint
- Microsoft Excel
- Research
Derivatives Analyst Intern
2CentsCapital —Remote
- Full-time
- Remote
- English
- Bachelor's degree
- Machine learning
- Flexible schedule
Senior Manager - Project Management
AxisMaxlife —Remote
- Remote
- Microsoft Powerpoint
- Microsoft Excel
- PMP
Manager - IT Vendor Relationship
AxisMaxlife —Remote
- Remote
- Microsoft Powerpoint
- Microsoft Excel
- Finance
Senior Investment Analyst – U.S. Markets
Bluepeak Construction Private Limited —Remote
- Full-time
- Remote
- Microsoft Powerpoint
- Microsoft Excel
- English
- Paid time off
- Cell phone reimbursement
Quick apply
9d
Frontend Developer Intern
2CentsCapital —Remote
- Full-time
- Remote
- English
- Bachelor's degree
- Machine learning
- Flexible schedule
Sr. Director, Product Management (Revenue Products)
HighLevel —Remote
- Remote
- Analysis skills
- Presentation skills
- Product management
14d
Stock Trading model training - Reinforcement learning
MB —Remote
- ₹1,00,000 - ₹5,00,000 a month
- Full-time
- Remote
- Research
- Machine learning
- AI
Quick apply
8d
Family Offices Services Manager
FinStrat Management —Remote
- Full-time
- Remote
- English
- Finance
- Bachelor's degree
Quick apply
Operations Manager (Product)
Revolut —Remote
- Full-time
- Remote
- Machine learning

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Quantitative Developer

Qsentia.com
Remote

Quick apply

Job details

Part-time

Benefits

Flexible schedule

Qualifications

Cloud infrastructure
Rust (programming language)
Law
PyTorch
NumPy
Data analysis skills
NoSQL
Research
Master's degree
Databases
SQL
Pandas
Analysis skills
C++
C
Machine learning
Distributed systems
Natural language processing
Portfolio management
AI
Communication skills
Python

Full job description

Quantitative Developer (RL + LLM Trading Systems) – Remote, Part-TimeAbout Us

We are building a next-generation AI-driven hedge fund platform that combines Reinforcement Learning (RL), Large Language Models (LLMs), and quantitative finance to create advanced portfolio management and risk management systems.

Our mission is to leverage cutting-edge machine learning, alternative data, and quantitative research to generate superior risk-adjusted returns in dynamic market environments.

The Role

We are seeking a Quantitative Developer with a passion for machine learning, financial markets, and systematic trading. You will play a key role in designing, developing, and deploying our proprietary RL + LLM investment framework.

This position offers the opportunity to work on one of the most exciting challenges in modern finance: integrating AI-driven alpha generation with adaptive portfolio optimization and risk management.

Responsibilities

Design and implement reinforcement learning models for portfolio optimization, allocation, and risk management.
Develop and test actor-critic architectures such as PPO, DDPG, TD3, and SAC.
Build LLM-powered signal generation systems using financial documents, earnings calls, news, social sentiment, and alternative datasets.
Architect scalable pipelines that combine AI-generated alpha signals with portfolio construction and execution systems.
Develop robust walk-forward and event-driven backtesting frameworks with realistic transaction cost and slippage modeling.
Create advanced evaluation frameworks using metrics such as Sharpe Ratio, Sortino Ratio, Maximum Drawdown, Calmar Ratio, CVaR, and portfolio concentration measures.
Collaborate with researchers and portfolio managers to convert quantitative research into production-ready trading systems.
Optimize training and inference workflows for GPU-based environments and large-scale datasets.
Ensure data integrity by implementing point-in-time data processing and eliminating look-ahead bias.

RequirementsRequired Qualifications

1+ years of experience in quantitative development, algorithmic trading, machine learning, or financial research.
Strong proficiency in Python, including NumPy, Pandas, and PyTorch.
Hands-on experience with reinforcement learning frameworks and portfolio management applications.
Solid understanding of financial markets, portfolio theory, and risk management principles.
Experience working with SQL or NoSQL databases.
Familiarity with LLMs and AI platforms such as OpenAI, Claude, Gemini, or similar technologies.
Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience developing algorithmic trading or systematic investment strategies.
Knowledge of cloud infrastructure and distributed computing environments.
Experience with C++ or Rust.
Background in NLP, multimodal AI, or alternative data analysis.
Experience building production-grade backtesting and execution systems.

Why Join Us?

Work on cutting-edge applications of AI in quantitative finance.
Help shape the architecture of a next-generation hedge fund platform from the ground up.
Collaborate with a high-performance team focused on innovation and research excellence.
Flexible remote work environment.
Equity compensation with significant growth potential.

Job Details

Position: Quantitative Developer (RL + LLM Trading Systems)

Employment Type: Part-Time

Location: Remote

Compensation: Equity-Based Compensation

If you are passionate about AI, quantitative finance, and building the future of algorithmic investing, we'd love to hear from you.

Benefits:

Flexible schedule

Work Location: Remote

Quick apply

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quantitative finance jobs in remote

Quantitative Developer

Chief Manager - Business Strategy

Derivatives Analyst Intern

Senior Manager - Project Management

Manager - IT Vendor Relationship

Senior Investment Analyst – U.S. Markets

Frontend Developer Intern

Sr. Director, Product Management (Revenue Products)

Stock Trading model training - Reinforcement learning

Family Offices Services Manager

Operations Manager (Product)

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