Quantitative Analyst

Description

Our Team:

We are the Quantitative Analysis team at Deriv.com. 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.

About Us:

Founded in 1999, Deriv.com (formerly Binary.com) is a pioneer in online trading. We enable our customers to trade on the world’s financial markets. Focused on customer-centric solutions, we aspire to be the world’s leading online trading service provider.

A career at Deriv.com offers you the opportunity to make an impact in a fast-growing organisation that’s at the cutting edge of online trading technology.

Your Role:

As a Quantitative Analyst at Deriv.com, you will be involved in developing derivatives pricing, risk management models, and algorithms. You will play a key role in the future growth, profitability, and risk management of the company. Since all transactions on our platform are fully automated, you will ensure that our pricing and risk management algorithms are robust, considering critical factors such as real-time pricing parameters, data feed irregularities, and latencies.

What You’ll Do:

– 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. – Communicate effectively with other team members to understand the big picture of the organisation and its goals. – Develop derivatives pricing, as well as risk management models and algorithms using C/C++, R, MATLAB, Perl, Python, etc. – Review, develop, and enhance options pricing, volatility forecasts, and risk management programs. – Perform data mining using SQL databases, R/S-Plus, OLAP, and other analytical tools. – Monitor website trading activity and minimise abuse. – Generate periodic and special reports that summarise client trading trends.

What You Have:

– An advanced 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 using financial information sources such as Bloomberg and Reuters – Expertise in the application of object-oriented programming languages (C++ and Perl), coupled with the ability to produce high-quality code – Excellent spoken and written English communication skills

What We’ll Give You:

– Growth-inducing challenges – Productive work atmosphere – Cooperation, support, and empowerment – Career progression opportunities – Market-based salary – Annual performance bonus – Health benefits – Casual dress code – Travel and internet allowances

[email protected]
043990404