Liquidity Risk Analyst.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global investment bank with a significant presence in international financial markets. They are known for their robust risk management frameworks and commitment to excellence in financial services. The organization fosters a collaborative, high-performance culture that encourages professional growth and innovation.
About the role.
This role sits within the liquidity management function, focusing on the development and enhancement of internal liquidity stress models. You will be responsible for conducting complex scenario analysis and ensuring that liquidity risk frameworks align with regulatory requirements. The position offers the opportunity to work on strategic projects and collaborate with global teams across major financial hubs.
What you will do.
- Develop and enhance internal liquidity stress models to support group-wide risk requirements.
- Conduct what-if analysis and ad-hoc stress scenario testing to identify potential liquidity risks.
- Perform in-depth root cause analysis on major contributors to stress inflows and outflows.
- Implement and maintain liquidity models within strategic platforms using Python and SQL.
- Collaborate with front office, risk, IT, and reporting teams to ensure robust model development and testing.
- Produce and maintain comprehensive model documentation for internal and regulatory review.
- Lead and support Treasury change initiatives, including the automation of liquidity stress testing processes.
What you bring.
- 1–6 years of experience in a Treasury function or liquidity risk management role.
- Strong understanding of Basel liquidity rules and banking/investment banking products.
- Proficiency in Python and Excel for data analysis and model implementation.
- Experience with statistical modeling and risk model development.
- Strong analytical skills with the ability to translate complex data into technical presentations.
- Familiarity with data visualization tools such as Tableau or Power BI.
- Proven project management skills with the ability to work in a hybrid, global team environment.
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