Our client is an online trading service provider with offices globally and they are currently recruiting for a Quantitative Analyst for their Limassol based office
Imagine an online trading platform that makes trading accessible to anyone, anywhere, with a wide range of offerings and competitive trading conditions. Now picture yourself creating some of the trade types and instruments offered on this platform. As a Quantitative Analyst that is exactly what you will do.
You will design and create new trading products that will make the company platform of choice, where clients can trade anything they desire.
You will use mathematical and financial methods to develop derivatives pricing and risk management algorithms based on real-time market data, new events, and any such parameters impacting the underlying instruments.
With your extensive financial knowledge and data analysis skills, you will create models that will help us mitigate risk, make sound business decisions, and introduce a new generation of trading products to the fintech world.
Apply mathematical models to real-world scenarios.
Solve complex and abstract mathematical problems to optimise pricing and manage risk.
Analyse trading patterns to identify new market opportunities.
Develop derivatives pricing, as well as risk management models and algorithms.
Review, develop, and enhance options pricing, volatility forecasts, and risk management programmes.
Perform data mining using SQL databases and other analytical tools.
Monitor trading activity across all of our platforms and minimise abuse.
Generate periodic and special reports that summarise client trading trends.
You will be part of the Trading team that develop the underlying risk and pricing models that drive our products and enable customers to trade on our platforms.
We are central to the profitability and success of the company.
We track the company's performance, mitigate risk, and provide useful, actionable insights that help us develop solid business strategies.
A university degree in physics, financial engineering, or mathematics
Knowledge of probability theory, stochastic calculus, numerical methods, Monte-Carlo simulation, differential equations, econometrics, derivatives pricing, and statistical modelling
Experience in a programming language such as Python, R, and SQL
Excellent spoken and written English communication skills
What's good to have:
Experience in using financial information sources such as Bloomberg and Reuters
Salary and benefits:
Exciting work challenges
Collaborative work environment
Career advancement opportunities
Workdays from Monday to Friday
Annual performance bonus
Casual dress code
Please send your CV to StaffMatters at firstname.lastname@example.org and mention that you are applying for the vacancy of Quantitative Analyst with reference number 272.
Or you can apply directly through your candidate login by hitting the APPLY button.