LENDO CAPITAL

Quantitative Researcher Intern

Apply quantitative methods to financial markets research. Work with data analysis, statistical modeling, and algorithmic trading strategies in a dynamic trading environment.

Position Overview

Join our quantitative research team and gain hands-on experience applying mathematical and statistical methods to real-world financial markets. You'll work alongside experienced quants and traders to develop, test, and implement data-driven trading strategies.

This internship provides exposure to quantitative finance, machine learning applications in trading, risk modeling, and the full lifecycle of quantitative strategy development in a boutique financial services environment.

Key Responsibilities

  • Conduct quantitative research on trading strategies and market patterns
  • Develop and backtest quantitative models using Python, R, or MATLAB
  • Analyze large financial datasets to identify trading opportunities
  • Assist in building risk management and portfolio optimization models
  • Collaborate with traders to implement and monitor quantitative strategies
  • Prepare research reports and present findings to the team

Requirements

Education & Background

  • Currently pursuing or recently completed a degree in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or related quantitative field
  • Strong academic record with coursework in probability, statistics, and calculus
  • Interest in financial markets and quantitative trading strategies

Technical Skills

  • Proficiency in Python (NumPy, Pandas, scikit-learn) or R for data analysis
  • Experience with statistical modeling and machine learning techniques
  • Familiarity with SQL and working with large datasets
  • Knowledge of time series analysis and financial data structures (preferred)

Personal Attributes

  • Strong analytical and problem-solving abilities
  • Attention to detail and commitment to data accuracy
  • Excellent communication skills to explain complex concepts
  • Self-motivated with ability to work independently and in teams

Position Details

Internship
New York / Remote
Full-time
Quantitative Research Team

What You'll Learn

  • • Quantitative trading strategies
  • • Statistical arbitrage and alpha generation
  • • Risk modeling and portfolio optimization
  • • Machine learning in finance
  • • High-frequency trading concepts
  • • Backtesting and strategy validation
  • • Financial data analysis techniques

Why Join Us?

  • • Work on real trading strategies
  • • Mentorship from experienced quants
  • • Access to institutional-grade data
  • • Collaborative learning environment
  • • Competitive compensation
  • • Potential for full-time offer

Application Process

Submit your resume, cover letter, and a brief description of a quantitative project you've worked on (academic or personal).

Apply Now

What Makes This Role Special

Unlike typical research internships, you'll have direct exposure to live trading operations and see how your work impacts real investment decisions.

Real Impact

Your research and models will be used in actual trading strategies, giving you direct visibility into how quantitative research drives trading decisions.

Close Mentorship

Work directly with senior quantitative analysts and portfolio managers. Receive personalized guidance and feedback on your work.

Cutting-Edge Tools

Access to professional trading platforms, market data feeds, and computational resources used by institutional traders.