Organization Description
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 Analyst at Neovest, part of the Corporate Investment Bank (CIB), you will be integral to advancing our broker-neutral electronic trading platform. You will focus on developing data-driven insights and analytics to enhance trading strategies across global equities, futures, options, and FX markets. Your expertise will support the creation of innovative pre-, post-, and in-trade analytics, empowering traders with the tools they need for efficient and confident decision-making.
Key Responsibilities:
- Data Analysis : Analyze pricing models, historical prices and calibration datasets. Provide actionable insights to improve system performance and user experience.
- 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.
- 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
- Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, or a related field.
- Strong analytical skills and experience with statistical analysis and modeling.
- Deep knowledge of one, preferably two asset classes.
- Proficiency in programming languages such as Python, R, or MATLAB.
- Proven experience successfully engaging customers, clients & stakeholders using strong verbal and written communication skills with an ability to articulate complex concepts in a clear and concise manner
- Demonstrated experience in working with technology partners to troubleshoot complex issues.