伦敦Radley James 公司招聘定量分析师博士后

Reporting to: Head Statistical Arbitrage Trader, Europe

Location: London

Quantitative Analyst with considerable experience of Cash Equity required for a Greenfield Cash Equity Statistical Arbitrage Trading Unit within a diversified Global Financial Services firm with significant operations in London, Amsterdam and Australia/Asia.

The Greenfield Cash Equity Statistical Arbitrage Trading Unit is a complete Greenfield project that will include and utilise a pool of resources consisting of Traders, IT Developers, Artificial Intelligence and Database Experts. The hired team will work together in building sophisticated medium frequency systems and strategies for the traders to trade cash equity securities, initially focusing on markets across the UK and Europe, and expanding globally in future.

Position Background:

An opportunity exists for a Quantitative Analyst to join the London Statistical Arbitrage team. This team is very collaborative and team members have specific responsibilities as well as working together in delivering modules that play an integral part in the system.

Key Responsibilities:

Be responsible for the MATLAB unit of the system. Responsibilities would include modelling, analysing and prototyping current and future strategies

Time series analysis and market micro- structure R&D would run concurrently to the main responsibilities

Ability to interact fluently with trading, development, artificial intelligence resources in building a modular, inter-connected system

Attributes Required:

• Strong sense of personal responsibility, results-oriented
• Capable of meeting tight deadlines and working under pressure
• Capable of working in a fast paced, dynamic environment
• Strong team-oriented attitude with natural inclination to share and collaborate

Skills & Experience:

• Cash equity experience
• Medium frequency strategies preferred
• Hands on experience in developing Stat Arb and Algo Trading strategies
• A secondary requirement, of considerable benefit would be experience in developing executing algorithms (VWAP, TWAP etc.) with a sound understanding of market micro-structure
• Time series analysis utilising mathematical, statistics and econometric techniques.
• Hands on experience with Econometric and Statistics techniques, specifically within Stat Arb strategies
• Considerable practical experience in strategy development, back testing, databases and large data sets
• Hands on Matlab skills since the successful candidatewill be fully responsible for the Matlab unit of the system
• Grid computing skills will also be of benefit

Qualifications:

• Minimum Masters Degree, PhD preferred
• Mathematics, Applied Mathematics, Physics or similar background.
• Statistics and/or Econometrics will prove extremely beneficial

Culture & Values:

• Vibrant and dynamic culture that is both challenging and rewarding
• Our employees are highly intelligent, passionate and extremely driven
• We have a flat-as-possible management structure that supports a collaborative working style
• We believe in recognising good ideas, no matter where they come from

Benefits:

• Informal dress code
• Daily catering - breakfast, lunch plus a fully stocked kitchen
• Chill-out area with bar, pool table, table tennis, TV and Wii
• Competitive annual leave
• Health and life insurance
• Gym membership
• Regular social events
• Two discretionary performance related bonuses a year</ < div>