Data Scientist, AVP
$125kBarclays
Job Description Purpose of the role To produce and deliver Research with differentiated market insights and actionable ideas to Barclays Clients.
Accountabilities
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. To be successful as a Data Scientist, AVP, you should have experience with:
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.
- 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.
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. To be successful as a Data Scientist, AVP, 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)
- 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
Vacancy posted 4 days ago
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