Vice President - Global Markets

About the role

Barclays Capital Inc. seeks Vice President - Global Markets in New York, NY (multiple positions available).

Responsibilities

• Develop algorithmic trading solutions in the Equities Electronic space using low-latency Java.
• Develop new features to the algorithmic trading engine to enhance the client’s trading experience.
• Provide production support of the algos in real-time by identifying the root cause of the issue.
• Work with the Product, Sales, and Coverage teams to examine new client requests and requirements and develop implementation plans satisfying requirements within the confines/constraints of the algorithm stack.
• Conduct data analysis to come up with new models to improve the trading algorithm.
• Collaborate with quant researchers to develop and maintain trading execution models.

Requirements

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Qualifications

• Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds.
• Data cleaning and pre-processing tasks to ensure data quality and suitability for model development.
• Design and implementation of data management strategies for model maintenance and future development.
• Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.
• Monitoring model performance in real-time and identify any potential issues or biases.
• Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation.
• Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation.

Skills

• Expertise in algorithmic trading solutions using low-latency Java.
• Strong background in data analysis and machine learning.
• Experience in developing and maintaining trading execution models.
• Ability to work collaboratively with cross-functional teams.
• Knowledge of emerging technologies and tools in AI innovation.

Benefits

Not specified.

Pay

Minimum/yr: $200K per year
Maximum/yr: $225K per year

Schedule

Not specified.