Quant Researcher/Developer

An innovative multi-strategy hedge fund is seeking a Quantitative Researcher / Developer with a strong M&A or event-driven background to join the Merger Arbitrage team.   The individual will be responsible for pricing and executing on a global range of event-driven and merger arbitrage situations which will entail the further development and improvement of sophisticated pricing models.  The Quantitative Researcher will help the team find and trade on price inefficiencies, develop different pricing methodology, help to manage the portfolio risk, investigate new products and push into new business areas. 

Key Skills

• Expert level proficiency in Python, SQL, Duck DB, etc., programming languages as well as machine learning and LLMs (AI/ML)
• Expertise with working on large time series data sets
• Experience in risk neutral modeling techniques, knowledge of stochastic calculus with a strong statistical/actuarial background
• Large Language Model (LLM) fluency to design, fine-tune, deploy and integrate solutions into workflow
• Critical thinker with a strong quantitative mind and keen commercial acumen
• A collaborative problem-solver who enjoys working with a small team

Experience / Ideal Candidate will have:

• Familiarity with the M&A process including typical regulatory and legal issues that may impact the probability of deal completion
• Demonstrated technical competency through prior experiences
• Experience modeling and simulating markets and portfolios
• Ability to simulate and model merger arb spreads and their fluctuations through time

Background / Education

• Four year degree from a competitive university in a quantitative field such as statistics, mathematics, operational research, computer science, finance or economics.
• Minimum 5 years’ experience in markets, statistical/econometric modeling, and/or database management.

Main responsibilities

• Designing, maintaining and implementing solid quant risk models and/or extensions to existing ones.  Build and implement merger arbitrage modeling algorithms inclusive of stochastic price processes and calibration methodologies.
• Developing and continuously evolving a diversified portfolio that accesses new opportunities.
• Prepare internal models and data using specialized tools; PYTHON/SQL and Machine Learning
• Analyze portfolios and strategies to understand drivers of performance.  Develop reports summarizing risk profiles, facilitate efficient risk management and continually evolve understanding of portfolio construction.
• Use a rigorous scientific method to develop sophisticated trading and hedging models and develop insights into how markets will behave around the globe
• Leverage technology to effectively improve processes and models

Key Benefits

• Remote work
• Competitive salary
• Potential for large, uncapped bonus related to performance.  You will be rewarded for your ideas and contributions to team performance.
• Work within a small collaborative team of experienced high-performing professionals
• Help steer strategy and trading decisions