AVP- CDEG

Basic/ Essential Skills


 

• Exceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders.
• Experience with multiple of the following methods: PCA, MDS, factor analysis, regression analysis, choice models, cluster analysis, density estimation, kernel methods, Bayesian methods, classification, decision trees, MCMC, systems dynamics, gradient boosting, NLP.
• Significant experience applying machine learning methods with big data technologies.
• Significant experience in Python and the key analytical and machine learning libraries. Able to write production quality code with strong grasp of key coding principles: e.g. separation of concerns, generalization of code.
• Understanding of GenAI , LLMs and the RAG framework.
• Ability to understand and translate the pattern recognition, exploration of the data, machine learning and algorithmic learning.
• Actively seeks out and applies new analytical methods that can improve the speed and quality of the decision takes within Barclays Business.
• Experience in providing technical mentoring to more junior colleagues .
  
  
   

Desirable Skillsets/ Good To Have


 

• Masters or PhD in a highly numerate discipline such Statistics, Mathematics, Physics, Computer Science or Engineering with a strong programming background.
• Experienced in creating business models, both financial and consumer behavioral.
• Extensive experience of statistical analysis, data mining and visualization techniques.
• Experience of data warehouse and MI environments and practices with good working knowledge of SQL and at least one business intelligence package (Tableau/PowerBI).
• Experience in PySpark and a Hadoop environment.
• Project management and cross functional matrix leadership experience
• Experience in line management of data scientists.
• Experience in front end development frameworks such as Angular/React Flask/Streamlit.
• MVC Architecture.
• Experience of Agentic AI.
• Educational Qualification – Graduation as a minimum.
• You may be assessed on the key critical skills relevant for success in role, such as experience with design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performanceas well as job-specific skillsets.
  
  
   

This role will be based out of Gurugram.

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

Accountabilities


 

• Identification, collection, extraction of data from various sources, including internal and external sources.
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.