Quantitative Analyst - Treasury

Barclays; Mumbai; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Barclays in Mumbai seeks a Quantitative Analyst AVP for Treasury to lead development of treasury and liquidity models using state-of-the-art frameworks. You will work in a global quant team with regulators and apply modern tech to improve digital offerings and decision making.

The role involves end-to-end model development, validation, and implementation, with preferred skills in Python or C++. You will be assessed on expertise in IRRBB, TWD, RRP, and liquidity modelling, and will drive

Qualifications

• Hands on coding experience in end-to-end model development and validation.
• Preferable languages: Python or C/C++.
• Experience in IRRBB, RRP, TWD, hedge accounting, liquidity modelling, FX risk, ICAAP VAR and balance-sheet modelling.
• Experience as a full-stack/agile developer.

Responsibilities

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaborate with technology teams to specify data, environments and tooling needs.
• Develop high-performing analytics and modelling solutions with clear documentation.
• Implement analytics and models in stable, tested software and operationalise them.
• Provide ongoing support and ensure conformance to enterprise risk policies.
• Demonstrate risk management and strengthen controls within the work.
• Communicate complex information clearly to stakeholders.

Skills

Python

C/C++

Model development

Model validation

IRRBB

Liquidity modelling

Hedge accounting

Cash flow forecasting

Job description

Join us as a Quantitative Analyst AVP Treasury 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.

You will be responsible for developing best in class treasury and liquidity 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 a successful Quantitative Analyst AVP in Treasury you should have experience with:

Treasury Models (Deterministic Model)

1 (A). You must have knowledge of the following in Risk / Finance / Quant Modelling (across at least some of the these) - Treasury Risk (Interest Rate Risk of Banking Book-IRRBB), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow management for testing IFRS and GAAP accounting), ICAAP VAR Model (Interest Rate Risk of banking book for VAR), PRA110 liquidity reporting, Model Implementation.

Treasury Models (Statistical Model)

1(B). You must have knowledge of the following in Risk / Finance / Quant Modelling (across at least some of the these) - Treasury Risk (Interest Rate Risk of Banking Book-IRRBB), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow management for testing IFRS and GAAP accounting), ICAAP VAR Model (Interest Rate Risk of banking book for VAR), PRA110 liquidity reporting, Model Implementation.

• Hands on coding experience (as a full-stack developer / agile developer etc.
• Preferable language is Python, C/C++ etc).
• Hand on experience in Model Development and/or Model Validation (core development experience preferred)/Model Implementation.
• Experience in IRRBB, RRP, TWD, Hegde accounting, Liquidity Modelling, FX rate risk, ICAAP VAR model, Balance-sheet Modelling, Cash Flow Forecasting.

You may be assessed on essential skills relevant to succeed 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.

Job location of this role is 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.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• 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 will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

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.