As a Quantitative Analyst at Deriv, a fintech company with more than a million clients worldwide, that is exactly what you will do. You will design and create new trading products that will make Deriv a 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.

Your challenges

• 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.

Our team

You will be part of the Trading team at Deriv. We 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.

Requirements

• 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

Benefits

• Exciting work challenges

• Cooperative work environment

• Career advancement opportunities

• Market-based salary

• Work days from Monday to Friday

• Annual performance bonus

• Casual dress code

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