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Barclays
Design, develop, and deploy ML/statistical models to solve business problems, perform data analysis to generate market insights, and present research views to clients and internal stakeholders.
Requires strong experience in Python, PySpark, R, SQL, machine learning, statistical modeling, and causal inference, with a quantitative academic background, to develop predictive models and deliver market insights.
Purpose of the role
To produce and deliver Research with differentiated market insights and actionable ideas to Barclays Clients.
Accountabilities
Assistant Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
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)
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/ data break experience
Causal inference background
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.
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Base Salary (from JD)
$125,000 – $175,000
AI Est. Total Comp
$175,000
Location
New York, 745 7th Avenue
Work Type
On-site
Seniority
mid
Experience
3-5 years
Category
Data Science
Visa Sponsorship
Unknown
41 H1B cases filed
Quality Score
5.2