Quantitative Analyst AVP - Treasury

Barclays; Mumbai City; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Barclays in Mumbai seeks a Quantitative Analyst AVP for Treasury to design and implement advanced analytics and models for liquidity and risk management.

You will work in a global quant team, applying Python and other tools to build end-to-end solutions, collaborate with technology, and ensure governance and validation across models.

The role requires experience in risk/finance modelling, familiarity with Basel IRRBB, and hands-on coding to deploy solutions to near production environments.

Qualifications

• Experience in Risk, Finance or Quant Modelling across Treasury domains such as IRRBB, liquidity modelling or IFRS/GAAP testing.
• Hands-on coding experience with Python, C/C++, and version control tools.
• Knowledge of Basel/EBA IRRBB and derivative pricing concepts is required.

Responsibilities

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaborate with technology to specify dependencies for analytical solutions (data, environments, tools).
• Develop high-performing analytics, models, and well-documented software; demonstrate efficacy to business users and validators.
• Provide ongoing support and ensure control/compliance within the governance framework.

Skills

Python

C/C++

Quant modelling

Risk management

Version control

Education

Mathematics/Financial Engineering (advanced degree)

Computer Science (advanced degree)

Tools

GitLab

JIRA

Job description

Job Description

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.

Join us as a Quantitative Analyst AVP- Treasury 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-Treasury you should have experience with:

• Prior experience in Risk / Finance / Quant Modelling (across one of the following areas) - Treasury Risk (Interest Rate Risk of Banking Book- IRRBB ), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow managementfor testing IFRS and GAAP accounting), ICAAP VAR (Interest Rate Risk of banking book for VAR).
• Technology - Hand’s on recent coding experience (as a full-stack developer / agile developer etc.) Preferable language Python , Python-OOP, C/C++, Version control methods (Gitlab, JIRA).
• Knowledge of pricing models for financial instruments like loans and derivatives, and regulatory interest rate risk frameworks (Basel/EBA IRRBB) is required for this role.
• Treasury [IRRBB] has a large overlap with Counterparty Credit (IR) / Market Risk. Candidate with experience in Derivative Pricing and Market Risk model development are preferred.
• Candidates with experience in deploying quant solutions in near production environments are also preferred.
• Advanced Technical Degree: Mathematics, Financial Engineering, Computer Science, Numerical Analysis etc. are preferred

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.