Junior Quantitative Analyst – Warrants

About the Role

We are seeking a
Junior Quantitative Analyst
with a strong mathematical foundation and data science background to join our Warrants and Structured Products team. This is an excellent opportunity for a recent graduate or early-career professional to apply rigorous quantitative methods to real-world trading problems.

You will work on building volatility models, designing structured investment products with optionality, and backtesting trading strategies. This role combines mathematical finance, statistical analysis, and software development in a fast-paced trading environment.

What You'll Do

Volatility Modeling & Warrants Pricing (25%)

• Build and maintain volatility surface models for equity options
• Implement options pricing models (Black-Scholes, local volatility, stochastic volatility)
• Calibrate models to market data and validate model performance
• Develop tools for implied volatility calculation and Greeks computation
• Research and implement new volatility forecasting techniques

Structured Products Development (35%)

• Design and price structured investment products with embedded warrants
• Create payoff structures combining warrants, equities, and other derivatives
• Develop pricing and risk management tools for complex products
• Analyze risk-return profiles and scenario analysis
• Support product structuring team with quantitative analysis

Strategy Backtesting & Data Analysis (25%)

• Backtest options trading strategies across different market regimes
• Clean, process, and analyze large datasets (options prices, market data, corporate actions)
• Implement parameter optimization and sensitivity analysis frameworks
• Develop performance attribution and risk metrics
• Create visualization and reporting tools for strategy analysis
• Conduct statistical analysis to identify trading opportunities

Technical Collaboration & Knowledge Transfer (15%)

• Work with Scrum teams
  (Business Analysts, Developers, QA) to translate quantitative concepts into system requirements
• Explain options and volatility concepts
  to non-quant team members in clear, accessible language
• Review technical specifications
  to ensure accurate implementation of pricing models and trading logic
• Participate in sprint planning
  and provide quantitative input on feature development
• Conduct training sessions
  on options theory, Greeks, volatility surfaces, and risk metrics
• Support UAT (User Acceptance Testing)
  by validating calculations and model outputs
• Contribute to coding
  if capable, or provide detailed pseudocode and mathematical specifications for developers
• Bridge the gap
  between quantitative research and IT implementation

Required Qualifications

Education

• Bachelor's or Master's degree
  in one of the following:
• Mathematics, Statistics, Physics, Engineering
• Computer Science, Data Science, Computational Finance
• Quantitative Economics, Operations Research
• Strong academic record
  (USA GPA 3.5+ or equivalent)

Technical Skills

Advanced Mathematics:

• Calculus, linear algebra, differential equations
• Probability theory and statistics
• Stochastic processes and stochastic calculus (Brownian motion, Itô calculus)
• Numerical methods and optimization

Programming:

• Proficiency in
  Python
  (NumPy, pandas, SciPy, matplotlib)
• Experience with data manipulation and analysis
• Understanding of algorithms and data structures
• Version control (Git)

Data Science:

• Statistical modeling and hypothesis testing
• Time series analysis
• Data cleaning and preprocessing
• Experience with large datasets

Core Competencies

• Strong analytical and problem-solving skills
• Attention to detail and rigorous thinking
• Ability to work independently and in teams
• Excellent communication skills
  (written and verbal) -
  ability to explain complex concepts to non-technical audiences
• Teaching and mentoring aptitude
• comfortable presenting and training others
• Intellectual curiosity and desire to learn
• Cross-functional collaboration
• experience working with software development teams is a plus

Preferred Qualifications

Financial Markets Knowledge (Plus, Not Required)

• Understanding of equity markets and trading mechanics
• Familiarity with options, futures, and derivatives
• Knowledge of market microstructure
• Awareness of trading strategies (volatility arbitrage, delta hedging, etc.)

Additional Technical Skills

• Programming:
  C++, R, MATLAB, or Julia
• Libraries:
  QuantLib, scikit-learn, statsmodels
• Databases:
  SQL, time-series databases
• Tools:
  Jupyter notebooks, Bloomberg Terminal, market data platforms
• Agile/Scrum:
  Experience working in Agile development environments
• Documentation:
  Ability to write clear technical specifications and user guides

Experience

• Internship or project experience in quantitative finance
• Research experience in mathematical modeling
• Data science competitions (Kaggle, etc.)
• Open-source contributions or personal projects
• Teaching or tutoring experience
  (TA, mentoring, workshops)
• Cross-functional project experience
  (working with engineers, product teams)