Data Scientist VP- Research

Barclays•New York, NY

18h•$155,000 - $225,000•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. The Data Scientist VP - Research will join the Investment Bank Research Central function, which delivers actionable insights and innovative products to clients, helping them make informed investment decisions. This role supports the team’s objective of integrating data science into the investment process across a range of financial asset classes. The role requires proficiency in Python programming, the ability to develop and deploy machine learning models, and the application of advanced analytical techniques. Working alongside Research Analysts, the Data Scientist will produce detailed, data-led research that can be published and leveraged in client discussions. The Data Scientist will also contribute to broader Data Science initiatives, including the publication of standalone research focused on niche markets.

Requirements

Proficiency in Python programming
Ability to develop and deploy machine learning models
Application of advanced analytical techniques
Coding in Python, PySpark, R, SQL, or other scripting languages
Understanding of machine learning and statistical modeling techniques
Considerable academic background in a quantitative or empirical field (e.g., mathematics, statistics, economics, computer science, physics, or chemistry)
Experience applying Artificial Intelligence (AI) and machine learning techniques to analyze large datasets, generate insights, and support investment research

Nice To Haves

Demonstrated ability to communicate complex analytical findings and extract key insights from detailed models
Experience with Snowflake, Databricks, Tableau, and/or Power BI
Understanding of research methodologies and strategic approaches to investment 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.
Research may range from individual company or sector notes, through to long dated thematic reports.
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.
Contribute or set strategy, drive requirements and make recommendations for change.
Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.
If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes.
Lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard.
As an individual contributor, be a subject matter expert within own discipline and will guide technical direction.
Lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
Train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.
Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
Manage and mitigate risks through assessment, in support of the control and governance agenda.
Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives.
In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
Adopt and include the outcomes of extensive research in problem solving processes.
Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.
Support the team’s objective of integrating data science into the investment process across a range of financial asset classes.
Produce detailed, data-led research that can be published and leveraged in client discussions.
Contribute to broader Data Science initiatives, including the publication of standalone research focused on niche markets.