Tempest Vane Partners

www.tempestvanepartners.com

1 Job

2 Employees

About the Company

Tempest Vane Partners is a specialist recruitment business delivering to Investment Management, Digital Assets and related FinTech businesses in London and New York City.

With 20 years of experience covering the financial markets industry TVP offers deep recruitment expertise across Technology, Operations & Quantitative Analytics.

Listed Jobs

Company Name: Tempest Vane Partners
Job Title: Quantitative Researcher - High Frequency Trading
Job Description: The Client
My client is a market leading multi-strategy proprietary trading business with offices in London, New York City & Singapore.

They are looking for a very strong quantitative professional to join one of their flagship Quantitative Research teams focusing on Equities, Futures and Crypto high frequency trading.

What You'll Get
An opportunity to work at one of the most successful proprietary trading businesses in the world.
Generous salaries and market leading bonuses.
Healthcare, Life Assurance, Dental Care & Travel Insurance.
25 days holiday allowance, plus statutory bank holidays, and up to 30 days a year working from abroad.
Flexible working environment with 3 days in office, 2 days working from home, plus a further extra 15 remote days to take through the year.
Breakfast in the office, and lunch allowance.
Continuous opportunities for learning and development as well as career progression.

What You'll Do:
Design, implement, and deploy trading algorithms.
Researching high to mid frequency alphas.
Explore trading ideas by analysing market data, market micro-structure and alternate data for patterns.
Create tools to analyse data for patterns.
Contribute to libraries of analytical computations to support market data analysis and trading.
Develop, augment, and calibrate exchange simulators.

What You'll Need:
A Masters or PhD from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree.
Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis).
Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data.
Familiarity with signal generation and statistical models.
Strong programming skills in Python and/or C++.
Experience in high-frequency trading or quantitative trading is preferred but not a requirement.