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Mathematical Modeller
3 weeks ago
This is an exciting opportunity to work as a Quantitative Analyst AVP Treasury and Liquidity Risk. The role involves designing, developing, implementing, and supporting mathematical, statistical, and machine learning models and analytics used in business decision-making.
As part of your responsibilities, you will design analytics and modelling solutions for complex business problems, collaborate with technology to specify dependencies required for analytical solutions, develop high performing and documented analytics solutions, and implement them accurately in software.
You will also provide ongoing support for the effectiveness of analytics and modelling solutions to users while ensuring conformance to Enterprise Risk Management Policies.
As an Assistant Vice President, you are expected to advise and influence decision making, contribute to policy development, and take responsibility for operational effectiveness.
Leadership responsibilities include leading a team, setting objectives, coaching employees, and appraising performance. You will demonstrate leadership behaviours such as listening, inspiring, aligning across the enterprise, and developing others.
Additionally, you will lead collaborative assignments, guide team members, and identify new directions for projects.
Consulting on complex issues, mitigating risks, developing new policies/procedures, and managing risk and controls related to your work are key aspects of this role.
Collaboration with other areas of work, engagement in complex analysis of data, and communication of complex information effectively are essential skills.
This role requires you to demonstrate Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset of Empower, Challenge, and Drive.
To be successful in this role, you should have experience with treasury models, risk finance, and quant modelling. Knowledge of Treasury Risk, Liquidity Modelling, Hedge accounting, ICAAP VAR Model, PRA110 liquidity reporting, and Model Implementation is essential.
Hands-on coding experience, preferably in Python, C/C++, and experience in Model Development, Validation, and Implementation is also required.
The job location for this role is Mumbai.
Key skills required include expertise in quantitative analysis, financial modelling, data analysis, machine learning, programming languages, and financial markets.