Barclays

Data Scientist AVP - Research

Barclays$125K — $175K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data science or related field
  • Strong proficiency in Python, PySpark, R, and SQL
  • Solid understanding of machine learning and statistical modeling techniques
  • Degree in a quantitative field such as math, statistics, economics, or computer science
  • Excellent communication skills with the ability to convey complex information effectively
  • Experience in predictive modeling and the evaluation of model performance

Responsibilities

  • Analyze market and sector data to create investment theses
  • Produce research reports ranging from company insights to broader thematic analyses
  • Present research findings to clients through various engagement methods
  • Collaborate with internal teams to enhance the visibility of research efforts
  • Provide research insights to assist stakeholders in navigating financial markets
  • Support compliance by ensuring research output meets internal standards
  • Lead and mentor team members in complex analytical tasks

Benefits

  • Collaborative work environment fostering innovation and strategic thinking
  • Leadership opportunities with coaching responsibilities for team development
  • Access to advanced analytics tools and technologies
  • Opportunity to influence business strategy through data-driven insights
  • Involvement in cross-functional projects to enhance learning and growth
Full Job Description
Job Description

Purpose of the role

To produce and deliver Research with differentiated market insights and actionable ideas to Barclays Clients.

Accountabilities
  • 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.


Assistant Vice President Expectations
  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • 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. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.


Join us as a Data Scientist AVP - Research within our Investment Bank Research Central function. The Central Research team delivers actionable insights to clients, partnering with them to support informed investment decisions. As a Data Scientist, you will help integrate data science into the investment process across a range of financial asset classes through the use of Python programming and machine learning models. Working alongside Research Analysts, you will produce detailed data-led research that can be published and used in client discussions. You will also contribute to other mandates within the Data Science team, including the publication of standalone data-led research focused on niche markets and partnering with business stakeholders to translate data insights into actionable strategies.

To be successful as a Data Scientist AVP - Research, you should have experience with:
  • 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)


Some other highly valued skills may include:
  • Demonstrated ability to tell stories that extract the key implications and underlying intuitions from highly detailed models
  • Snowflake/ Databricks and/or Tableau/Power BI experience
  • Understanding of fundamentals or strategy approaches to research


This role is located in New York, NY.

This role is regulated by FINRA.

Minimum Salary: $125,000

Maximum Salary: $175,000

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.

About Barclays

Barclays is a British multinational investment bank and financial services company. The company was founded in 1690 and is headquartered in London, England. Barclays provides a range of financial services, including retail banking, corporate banking, investment banking, and wealth management. The company operates in over 40 countries and has over 83,000 employees. In 2020, Barclays reported revenue of £21.8 billion and net income of £1.5 billion. The company is listed on the London Stock Exchange and is a constituent of the FTSE 100 Index.
Learn more about Barclays
Size
81,600 employees
Market Cap
$30.2 billion
Industry
Net Income
$2.3 billion
Founded
1997
5 Year Trend
-5%
NASDAQ

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