Quant Analytics Wholesale Credit Risk Modeller

2 days ago


Mumbai Maharashtra, India Barclays Full time

**Date live**:
06/20/2025
**Business Area**:
Risk
**Area of Expertise**:
Risk and Quantitative Analytics
**Contract**:
Permanent
**Reference Code**:
JR-0000054031
In Risk Barclays develops, recommends, and implements controls and cost-effective approaches to minimise Barclay's risks, identifies and analyses potential sources of loss to minimise risk and estimate the potential financial consequences of an occurring loss.
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Join us as a "Quant Analytics Wholesale Credit Risk Modeller “ at Barclays Quantitative Analytics Team 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.
You will be responsible for developing best in class credit risk models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology.
You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development, experience on coding languages like Python OR R OR C++, as well as job-specific skillsets.
To be successful as a Quant Analytics Wholesale Credit Risk Modeller you should have experience with:
Hands on coding experience (as a full-stack developer / agile developer etc.)
Preferable language is Python, C/C++.
You must have knowledge of the following in Credit Risk (Pillar 1 - Probability of Default (PD), Loss Given Default (LGD), Exposure of Default (EAD),
Experience in IFRS9/CECL/ CCAR can also be considered
You must have stress Testing/Scenarios Modelling), Model Development and/or Model Validation (core development experience), Statistical Modelling (preferably for Wholesale credit book).
This role is based out of Mumbai.
Purpose of the role
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Accountabilities
Design analytics and modelling solutions to complex business problems using domain expertise.
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
Ensure all development activities are undertaken within the defined control environment.
Analyst Expectations
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
Requires in-depth technical knowledge and experience in their assigned area of expertise
Thorough understanding of the underlying principles and concepts within the area of expertise
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
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 develop technical expertise in work area, acting as an advisor where appropriate.
Will have an impact on the work of related teams within the area.
Partner with other functions and business areas.
Takes responsibility for end results of a team’s operational processing and activities.
Escalate breaches of policies / procedure appropriately.
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
Advise and influence decision making within own area of expertise.
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Make evaluative judgements based on the analysis of factual information, paying attention to detail.
Guide and persuade team members and communicate complex / sensitive information.
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