QA Retail Credit Risk Model developer

Join us as a "QA Retail Credit Risk Model developer" in our Quantitative Analytics team. The 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

To be a Successful "QA Retail Credit Risk Model developer" the ideal candidate would be building targeted 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.

You may be assessed on the key critical skills relevant for success in role, such as Develop predictive models, statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations and specifications with high levels of accuracy and use of cutting-edge techniques to develop best in class models.

Essential Skills:

• Minimum Bachelor’s Degree in quantitative discipline.
• Hands-on experience in statistical model development and basic knowledge of Capital and impairment concepts.
• A good knowledge of data analysis, theory and statistical techniques (such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis and neural networks etc.).
• Proficiency with analytical software R or Python, SQL tools (e.g., Oracle), Unix platforms, and MS Office required. 
• Advanced Python Programming and knowledge of Python/R/C++ coding.
• Model implementation using DevOps tools like TeamCity, Jira, BitBucket and Nexus etc.
• Project and stakeholder management.
• Experience in financial institution data, supporting model development, implementation and productionisation within credit wholesale, consumer, finance or treasury.

Preferred Skills:

• Masters degree.
• Knowledge of Big Data platforms such as HADOOP and its eco-system
• Knowledge of credit card and/or banking retail business (specifically Mortgage and Unsecured) is strongly preferred
• Good exposure to statistical model development - familiarity with Consumer or Wholesale Credit risk modelling experience.
• Supported or working on stress testing across Risk, Treasury or Finance
• Data science and Machine learning background.
• Experience working within quantitative analytics team delivering models
• An understanding of the fundamental principles of the Basel and / or of IFRS 9 standards.
  

The Role is Based out of Noida.

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.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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.