Quantitative Researcher - Equity Volatility.

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Quantitative Researcher specializing in Equity Volatility. This exciting role involves collaborating with a specialized team to design and implement cutting-edge research and trading capabilities. You will focus on data generation and alpha research, working closely with portfolio managers to refine methodologies for valuation and risk assessment. The company values an entrepreneurial culture, promoting work/life balance and ownership. If you possess a strong background in equity derivatives and a passion for analytical challenges, this opportunity could be your next career move.

Qualifications

• Substantial experience in equity derivatives modelling and backtesting systems.
• Strong analytical skills and ability to work independently in fast-paced environments.

Responsibilities

• Collaborate on data generation and alpha research in the vol trading space.
• Engage with portfolio managers to discuss modelling approaches and methodologies.

Skills

Equity Derivatives Modelling

Python

SQL

Analytical Skills

Problem-Solving

Tools

q/kdb+

Unix

Airflow

Parallel/Cloud Computing

Job description

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Quantitative Researcher - Equity Volatility, London

Millennium, a leading global investment management firm, is assembling a new specialized team of engineers, quants, and data scientists to design, build, deploy, and operate their next-generation research and trading capabilities. The VAD team (Volatility Alpha Development) works jointly with portfolio managers, trading, and operations. The culture of the team is entrepreneurial, where work/life balance, ownership, and excellence are highly valued.

Responsibilities:

• Work closely with other team members to focus on data generation, alpha research, tools, and analytics focusing on vol trading space.
• Interact with portfolio managers to gather requirements, discuss modelling approaches, and methodologies for research, valuation, and risk.

Requirements:

• Substantial experience with equity derivatives modelling, vol surface fitting, and backtesting systems.
• Experience with Python, q/kdb+, SQL, parallel/cloud computing, Unix, Airflow.
• Solid familiarity with equity derivatives markets, including listed options, futures, variance swaps, VIX, and other derivatives.
• Some knowledge of common volatility trading strategies including dispersion, relative value, VIX complex.
• Some experience working with large datasets, including options order-book and tick data.
• Strong analytical and mathematical skills, problem-solving capabilities, and communication skills.
• Able to work independently in a fast-paced environment.
• Detail-oriented, organized, demonstrating thoroughness and strong ownership of work.