Organization Description

The Commercial & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.

Neovest, within Corporate Investment Bank (CIB), is a premier broker-neutral electronic trading software platform, providing a single source of access to diverse pools of liquidity, including direct routing to over 370 brokers across more than 120 global markets. Our product incorporates innovative pre-, post-, and in-trade analytics. We deliver sophisticated tools for single-instrument, pairs, portfolio, and spread trading in global equities, futures, options, and FX markets. Flexible, customizable, and robustly supported, our platform streamlines workflow, empowering efficient and confident trading.

Role Description:

As a Quantitative Developer at Neovest, within the Corporate Investment Bank (CIB), you will enhance our premier broker-neutral electronic trading platform. You will develop and optimize quantitative trading algorithms and analytics for global markets, empowering traders with efficient and confident trading capabilities. Your work will focus on integrating innovative pre-, post-, and in-trade analytics into our platform, ensuring it remains flexible, customizable, and robustly supported.

Key Responsibilities:

Algorithm Development: Design, implement, and optimize quantitative models for equities, fixed income, credit, FX and derivative markets. Ensure algorithms are robust, efficient, and aligned with market standards. Platform Enhancement: Collaborate with cross-functional teams to integrate quantitative models into the Neovest platform. Develop and optimize multi-threaded real-time pricing engines.  Performance Optimization: Monitor and analyze the performance of trading algorithms and strategies. Implement enhancements to improve execution quality, reduce latency, and optimize resource utilization. Model Validation: Perform model validation and pricing reconciliation across multiple sources. Work with FINCAD, Bloomberg and other internal/external pricing libraries to enhance our model capabilities. Research and Reporting: Stay updated on market developments and quantitative finance techniques. Prepare detailed reports and presentations to communicate findings and recommendations to stakeholders

 

Skills / Qualifications:

Strong programming skills in languages such as C#, C++, or Java. Experience working with real-time engines or complex systems. Master’s degree in Math or Quantitative Finance, or PhD in an applicable field of study. Experience with quantitative modeling, statistical analysis, and algorithm development. Familiarity with electronic trading systems and financial markets, particularly in equities, futures, options, and FX. Demonstrated experience in working with technology partners to troubleshoot complex issues.