Data Scientist, AVP

Barclays • New York, NY

1d • $125,000 - $175,000 • Onsite

About The Position

The purpose of the role is to produce and deliver Research with differentiated market insights and actionable ideas to Barclays Clients. This involves the analysis of market, sector, corporate and/or economic data to help develop investment theses for your coverage universe to produce best in class Research. Research may range from individual company or sector notes, through to long dated thematic reports. The role also includes the presentation of Research views to Barclays Clients through direct, face to face and virtual interactions, Research hosted events and written communications. Engagement with Markets, Client Strategy and other stakeholders is crucial to raise awareness of your Research both to Clients and internally, prioritizing interaction with the most relevant and valuable Clients. Provision of insights and Research views to internal Clients to help them navigate financial markets and risks, and collaboration with the Supervisory Analyst, Compliance and other stakeholders to ensure Research is produced and delivered to Clients and internal stakeholders in a compliant manner. Barclays is seeking a highly skilled and experienced Data Scientist, AVP, to support advanced analytics, develop predictive models, and drive data-driven decision-making across the organization. In this role you will design, develop, and deploy machine learning and statistical models to solve highly detailed business problems. Perform exploratory data evaluation to identify patterns, trends, and insights and build predictive and prescriptive analytics solutions to optimize business outcomes. You will also, evaluate model performance and continuously improve model accuracy and scalability. This role combines deep technical experience with strategic thinking and leadership responsibilities, including mentoring junior team members and partnering with business stakeholders to translate data insights into actionable strategies.

Requirements

• Coding in Python, PySpark, R, SQL or other scripting languages
• Understanding of Machine learning and Math statistical modelling
• Considerable academic background in a quantitative/empirical field (math, statistics, economics, computer science, physics, chemistry, etc)

Nice To Haves

• Demonstrated ability to tell stories that extract the key implications and underlying intuitions from highly detailed models
• Snowflake/ data break experience
• Causal inference background
• Understanding of fundamentals or strategy approaches to research

Responsibilities

• Analysis of market, sector, corporate and/or economic data to help develop investment theses for your coverage universe to produce best in class Research.
• Presentation of Research views to Barclays Clients; this can be through direct, face to face and virtual interactions, Research hosted events and written communications.
• Engagement with Markets, Client Strategy and other stakeholders, to raise awareness of your Research both to Clients and internally.
• Prioritise interaction with the most relevant and valuable Clients for your Research.
• Provision of insights and Research views to internal Clients to help them navigate financial markets and risks.
• Collaboration with the Supervisory Analyst, Compliance and other stakeholders to ensure Research is produced and delivered to Clients and internal stakeholders in a compliant manner.
• Design, develop, and deploy machine learning and statistical models to solve highly detailed business problems.
• Perform exploratory data evaluation to identify patterns, trends, and insights and build predictive and prescriptive analytics solutions to optimize business outcomes.
• Evaluate model performance and continuously improve model accuracy and scalability.
• Mentoring junior team members and partnering with business stakeholders to translate data insights into actionable strategies.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level