Quant Investment Intern

About FidelFolio Investment Advisory:

FidelFolio Investment Advisory is a SEBI-registered quant investment research & management firm dedicated to providing advanced investment strategies available as practical investment products. We invest in equity strategies devised by the powerful combination of machine learning and human supervision. We create long-term fundamental investment strategies scientifically, using proprietary Machine Learning (ML) algorithms.

Apply now: https://forms.gle/YNfUhYmkpd4VjFpG6

Job Description:

FidelFolio Investment Advisory is seeking highly motivated individuals for full-time and live project roles focused on building quantitative investment systems and research infrastructure. This is an opportunity to work at the intersection of systematic investing, data-driven decision frameworks, and scalable financial analytics. You will contribute to the design and implementation of rule-based investment strategy engines, performance evaluation systems, fundamental analytics frameworks, and research automation pipelines. If you are excited about building disciplined, research-backed systems that strengthen long-term investing frameworks, this role offers deep ownership, real production impact, and accelerated learning within a high-performance quantitative environment.

Internship Duration: 3-months / 6-months

Engagement Type : Full Time | Live Projects | Immediate + Summer 2026

Key Responsibilities:

1. Quant Strategy Engineering: Design and implement structured financial computation systems and research workflows.
2. Ability to effectively leverage AI tools and autonomous agents to design, optimize, and orchestrate robust quantitative systems.
3. Data-Driven Analysis: Analyze financial datasets to generate measurable insights and improve decision models.
4. Research Automation: Develop structured pipelines to streamline analysis, validation, and reporting.
5. System Architecture: Contribute to scalable backend and analytics infrastructure supporting investment research.
6. Code Quality: Write clean, production-ready, well-documented code.
7. Problem Ownership: Take end-to-end responsibility for assigned modules.
8. Technical Defense: Clearly explain and defend design and modeling decisions.
9. Performance Optimization: Improve robustness, speed, and accuracy of systems.
10. Continuous Learning: Rapidly absorb feedback and enhance solution depth.

Qualifications:

1. Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Finance, or a related field (5-year integrated program candidates preferred (for full-time roles)).
2. Proficiency in Python with Strong foundation in machine learning and statistical techniques.
3. Experience in applying AI-driven workflows and agent-based automation to build scalable, high-performance quant research or trading frameworks is a plus.
4. Experience in backtesting and financial modeling (preferred but not mandatory).
5. Ability to troubleshoot, optimize, and maintain codebases in a structured environment.
6. Self-motivated, detail-oriented, rapidly absorb feedback and enhance solution depth.
7. Familiarity with financial concepts and markets is a plus.
   

List of Live projects:

Selected interns are assigned to live, production-impact projects within our quantitative research stack such as:

Live Portfolio Fundamental Evaluation Framework

Predicted vs Realized Fundamental Analysis Framework

Quant Tool Orchestration & Research Execution Agent

Structured Research Data Interface & Validation Framework

Backtesting Platform Analytics & Stability Engineering

Quant-Signal Driven Automation Infrastructure

CRM Funnel Intelligence (Metric & Cohort-Based)

Compliance Quantification & Audit Traceability System

Access the detailed overview of the live project here: https://drive.google.com/file/d/1DNRMejljPNuMeGja12P8o2_nwPm6BrYx/viewusp=drive_link

Honorarium / Stipend:

As per industry standards.

Perks

Certificate

Letter of recommendation

Flexible work hours

Research-Paper Publishing Opportunity

Job Offer: PPO may be offered to suitable candidates.

This internship provides an excellent opportunity for a motivated individual to gain hands-on experience. We provide a supportive work environment with opportunities for growth and advancement within the company.

Apply now: https://forms.gle/YNfUhYmkpd4VjFpG6