Position: Quantitative Analyst
Company: Peanut.trade
Experience required: 2y
English level: intermediate

Responsibilities:
•	Assist in developing core algorithms and models leading directly to trading decisions
•	Work closely with rest of the team to develop advanced models and analytics
•	Evaluate and work with new data sources and analytics packages in developing the strategies 
•	Support research and statistical analyses about digital assets spot and derivatives markets 
•	Provide technical and investment analytics support 
•	Work closely with other researchers to develop and continuously improve upon mathematical models, and help translate algorithms into code

Requirements:
•	Bachelor’s degree, or equivalent experience, preferably in Statistics, Computer Science, Mathematics, Finance or Economics
•	Demonstrated ability to complete high-level, investment-related research
•	Prior experience in a quantitative role within a trading environment or experience in a position applying advanced quantitative techniques to solving highly complex data intensive problems
•	Strong analytical skills; experience working with and analysing large datasets
•	Strong mathematical and statistical modelling skills (i.e. time-series and cross-sectional skills) preferred
•	Understanding of the modelling of risk and dynamics of linear and non-linear financial products
•	Familiarity with portfolio construction analytics and some exposure to quantitative portfolio management
•	Multitasking, proven ability to work under pressure and meet deadlines

This is a full-time position with an option for part time remote working.
Compensation package will be market based and be determined during the interview process. If you believe you fit this position, email your CV to us. Your candidacy will be kept in the strict confidence.