OptAxe - Financial Trading Firm

OptAxe is an innovative FX options platform, connecting the largest institutional traders via a centralised liquidity hub. We provide enhanced liquidity through our axe-driven approach, ensuring that our clients can access the best possible rates for their trades. We are always looking for talented individuals to join our team and help us continue to innovate and disrupt the financial trading industry.

LOCATION

Global

EMPLOYMENT TYPE

Permanent

What You'll Do

As a member of the OptAxe team, you'll be responsible for using your expertise in data science to help us better understand market trends and improve our trading strategies. You'll work closely with other members of our team to analyze data, build models, and develop algorithms to optimize our trading processes and ensure that we continue to provide the best possible service to our clients.

In addition to your core responsibilities, you'll also have the opportunity to collaborate with other teams across the company to help us develop new products and services that meet the evolving needs of our clients. You'll be an integral part of a dynamic and innovative organization that is dedicated to pushing the boundaries of what's possible in financial trading.

Who You Are

To be successful in this role, you'll need a strong background in data science, with experience in statistical analysis, machine learning, and data visualization. You should be comfortable working with large datasets and be able to communicate complex analytical insights to both technical and non-technical stakeholders. You should also be a self-starter who is comfortable working in a fast-paced, dynamic environment and be able to manage multiple priorities effectively.

A PhD or Masters degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Physics, and experience in the financial industry, particularly in trading or risk management, is preferred. However, we welcome candidates with diverse backgrounds and experiences who are passionate about data science and excited about the opportunity to work in the financial trading industry.

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