Barclays
Financial Services
DatascientistAVPAcq.CreditStrategy
“Data scientist - AVP-Acq. Credit Strategy at Barclays. Skills: data analytics, machine learning, statistical modelling, predictive modelling, data pipelines, Python, SAS/SQL. Identification, collection, extraction of data from various sources. Performing data cleaning, wrangling, and transformation”
What You'll Achieve.
extract valuable insights from the bank's data reserves; inform strategic decision-making; improve operational efficiency; drive innovation across the organisation; deliver on work that impacts the whole business function; create an environment for colleagues to thrive and deliver to a consistently excellent standard; meet required outcomes; support the resolution of escalated issues; strengthening controls in relation to the work done; achievement of the objectives of the organisation sub-function; keep up to speed with business activity and the business strategy; achieve outcomes
Industry & Context.
solve problems creatively and effectively; Engage in complex analysis of data from multiple sources of information
What They're Looking For.
Must Have
knowledge of Python, SAS/SQL, AI tools or other relevant statistical tools, powerpoint and Excel, communication skills, ability to work independently, Attention to detail, Ability to work with multiple stakeholders, Project management skills, Ability to thrive in a dynamic and fast paced environment
Nice to Have
Analytical experience in financial services credit card acquisitions experience preferred, Previous experience in Financial Services Industry and Credit Risk Management, preferably in the Retail Point Of Sales and Equal Pay Loan segment, analytical, technical and statistical skills with proven ability to process vast amounts of data into meaningful information
What You'll Do.
extraction of data from various sources
Performing data cleaning
Development and maintenance of efficient data pipelines
Design and conduct of statistical and machine learning models
Development and implementation of predictive models
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science
How You'll Work.
Team & Collaboration
Collaborate with business stakeholders; Collaborate closely with other functions/ business divisions; Lead a team performing complex tasks; If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours; OR for an individual contributor, they will lead collaborative assignments and guide team members; Consult on complex providing advice to People Leaders; Perform work that is closely related to that of other areas; Collaborate with other areas of work, for business aligned support areas; Engage in complex analysis of data from multiple sources of information
Communication Scope
communication skills; Communicate complex information
Process & Methodology
Project management skills, Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes, identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes
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