Join us as a Assistant Vice President -Model Developer at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Quantitative Analytics (QA) is a global organisation of highly specialized quantitative modellers and developers. QA is led by Olaf Springer, who is a member of Risk Exco.QA is responsible for developing, testing, implementing, and supporting quantitative models for valuation and risk management of traded assets, regulatory and economic capital, impairments, asset-liability management, operational risk, net revenue and balance sheet forecasting, and stress testing across Barclays. The Quantitative Modeller position provides project specific leadership in building targeting solutions that integrate effectively into existing systems and processes while delivering strong and consistent performance. Working with QA Managers, the quantitative modeller role provides expertise in project design, predictive model development, validation, monitoring, tracking, implementation and/or specification.
To be successful as a Assistant Vice President -Model Developer you should have experience with:
Develop predictive , statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations and specifications.
Participate in overall project design and delivery with Quantitative Analytics' other functional teams and end-clients.
Produce robust documentation to ensure replicability of results and fulfil Barclays governance requirements.
Work constructively with other Barclays resources to deliver projects.
Work with other colleagues to ensure project completion within agreed time frames and end-client satisfaction.
Contribute to the broader Quantitative Analytics department through participation in peer reviews, terms of reference reviews, modelling forums, and ad hoc project collaboration.
Stakeholder Management and Leadership:
Lead resource on projects and bank system migrations, understanding proposed changes, impacts to risk, solutions to mitigate, RAIDs (risks, assumptions, issues, dependencies) to manage, timelines to deliver, resource requirements to deliver.
Take business requirements, validate, clarify and where appropriate, challenge/refine them with the stakeholder, to translate them into a meaningful functional specification on which to base build activity.
Manage delivery to agreed timelines and report on progress to a centralized risk change forum and model owners with risk (up to and including director level).
The role holder will be expected to hold code and document walkthroughs with peers and senior managers who will provide appropriate challenge to drive quality.
Decision-making and Problem Solving:
Impact analysis of existing managed solutions in response to bank wide initiatives (such as operational system changes).
Spot and take advantage of opportunities to improve code efficiency, data transformation, space utilization.
Rapid model implementation data exploration and extraction to source the most suitable data items to support the model build validation exercises.
Role holder will inform the strategic direction of the Python environment, the principles applied and the toolset evolution.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
Location: Noida.
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