Barclays Bank Careers – SMAD Equities Quant

Job Description:

As a Barclays Equities Quant Researcher, you will implement machine learning and AI models for price, volume and other signals to evolve the algorithmic trading product.You will ensure that the trading logic is providing optimal and cost-effective execution across the business, and that the products are current with market and regulatory developments and risk is managed appropriately. You will also engage in product development, client support, and production of educational content.

Job Responsibilities:

• Predicting price and volume utilizing the best in breed machine learning techniques
• Designing and tuning algorithmic trading strategies to improve performance and/or P&L
• Conducting microstructure analysis to ensure algorithms are fit for the specified markets
• Working with the product team to ensure efficiency of deliverables and coordination across risk and technology groups
• Running and enhancing the post trade analytics to affirm trading algorithms are following best execution
• Working with clients to assist the right tools for the right trading objectives
• Providing customization specifications where shortfalls occur

Job Requirements:

• Good grasp of the fundamentals of probability and statistics as well as experience with software development in Python, Q or JAVA
• Detailed working knowledge of market microstructure for US markets and experience with handling and analyzing large amounts of tick data

Qualification & Experience:

• Masters or Ph.D in a quantitative discipline such as Math, Finance, Machine Learning/AI, Econometrics, Computer Science, Statistics, Physics, Chemistry or Operations Research

Job Details:

Company: Barclays

Vacancy Type:  Full Time

Job Location: Newark, NJ, US

Application Deadline: N/A

Apply Here

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