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Текст:
Hirify AI/Оригинал
TL;DR
Quantitative Engineer - Associate / Vice President (ALM/Quantitative Finance): Designing and maintaining quantitative models, tools, and frameworks for asset liability management, balance sheet risk, and funding projections with an accent on NIM forecasting, stress testing, behavioural modelling, and model validation. Focus on building scenario analysis, backtesting and data quality frameworks, analysing fixed income and interest rate risks, and presenting complex quantitative findings to senior stakeholders.
Location: London, Greater London, England, United Kingdom
Company
Global investment banking, securities, and investment management firm operating through offices worldwide.
What you will do
Design, implement, and maintain quantitative models, tools, and frameworks for Asset Liability Management, including Net Interest Margin forecasting, Earnings-at-Risk, and funding cost projections.
Develop stress and scenario analysis across portfolios, products, and legal entities to quantify risk exposures, concentration risks, convexity effects, and vulnerabilities.
Build behavioural models for deposits and other channels, including non-maturity deposit modelling, deposit beta estimation, repricing lags, and volume flow projections across macroeconomic and interest-rate scenarios.
Establish backtesting, model performance monitoring, and data quality frameworks to evaluate accuracy, detect model drift, and refine assumptions.
Uplift models for evolving business needs, maintain documentation and implementation, and support regulatory inquiries and second-line model validation.
Present balance sheet management analysis clearly to senior managers, committees, and key stakeholders.
Requirements
Excellent academic background in mathematics, physics, statistics, economics, engineering, or computer science; Masters and PhD qualifications are preferred.
Strong programming skills in an object-oriented or functional language such as Python, C++, or Java.
Proven quantitative finance experience focused on Asset Liability Management, funding modelling, behavioural modelling, or balance sheet management.
Solid understanding of fixed income instruments, interest rate derivatives, curve construction methodologies, pricing and hedging strategies, and their application to balance sheet risk management.
Deep understanding of statistical and econometric modelling techniques, including regression analysis, time-series forecasting, or survival analysis, applied to financial products.
Excellent written, verbal, and team-oriented communication skills, with the ability to explain complex quantitative concepts to non-technical stakeholders.
Ability to work independently and thrive in a collaborative, global team environment.
Nice to have
Experience using AI-based tools in development.
Culture & Benefits
Collaborative environment involving Corporate Treasury, the CFO, business divisions, Controllers, Operations, and Investor Relations.
Training and development opportunities and firmwide professional networks.
Benefits, wellness, personal finance offerings, and mindfulness programs.
Commitment to diversity, inclusion, equal opportunity, and reasonable accommodations during recruitment.
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