CIO Strategy & Quantitative Analyst

Barclays UK; Greater London; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading financial institution in Greater London seeks a Quantitative Analyst to develop and implement advanced quantitative models to inform investment strategies. You will leverage your expertise in Python and quantitative finance to collaborate with senior stakeholders, enhance risk management practices, and innovate analytic tools. Ideal candidates will possess an undergraduate degree in a quantitative field, robust analytical skills, and a deep understanding of financial markets, economics, and portfolio theory. This role offers an opportunity to influence critical decision-making at the organization.

Qualifications

• Advanced degree in quantitative finance, mathematics, statistics, economics, or engineering.
• Expertise in Python and data analysis.
• Knowledge of risk management and quantitative finance.

Responsibilities

• Develop quantitative models in Python.
• Perform portfolio optimization and risk analysis.
• Collaborate with senior stakeholders for investment strategies.

Skills

Python for data analysis

Quantitative skills

Portfolio theory

Macroeconomics

Stakeholder management

Education

Undergraduate degree in a quantitative subject

Tools

NumPy

SciPy

Matplotlib

Seaborn

scikit-learn

Job description

Overall purpose of role

This role sits in BX within the CIO Strategy team, reporting into the Head of CIO Strategy. As a Quantitative Analyst (D) within the CIO Strategy team you will play a pivotal role in designing and implementing advanced quantitative models that underpin our investment strategy. You will collaborate closely with senior stakeholders to provide actionable insights that guide portfolio decisions, resource allocation, and performance evaluation.

Key Accountabilities

• Developing quantitative models in Python
• Portfolio construction and optimisation models that are entity aware and consider expected returns, risk and resource constraints (e.g. balance sheet, RWAs, market risk limits, credit risk limits, LCR and funding costs)
• Strategy and market timing models e.g. Regime analysis, seasonality, RV, momentum, duration signal
• Maintaining and developing highly mapped trade level data to create useful MI e.g. exposure reporting, risk reporting, financial metrics (e.g. RoRWA, RoE), liquidity and capital utilisation
• Risk and PV Analysis
• Creating live risk and PV views
• Creating tools to decompose PV/OCI
• Performing risk, volatility and correlation analysis to create advanced risk metrics
• Portfolio Sensitivity Analysis
• Developing and performing risk management analysis (e.g. scenario modelling, monte-carlo simulation)
• Developing tail hedging tools and proposing risk mitigating hedge packages (e.g. swaptions, invoice spreads)
• Carry and OCI Forecasting
• Developing models that forecast each component of carry (coupon, funding, swap and pull-to-par)
• Developing OCI forecast models
• Total return analysis and decomposition
• Analysing forward CET1 impact from carry and OCI forecasts

Person Specification

• A strong quantitative and analytical skillset is essential, demonstrated with an advanced degree in quantitative finance, mathematics, statistics, economics, engineering or a related field and relevant work experience
• Expert in Python for data analysis, time-series analysis, optimisation techniques and automation. Understanding of data structures & algorithms, object-oriented programming and various libraries (e.g. NumPy, SciPy, Matplotlib, Seaborn, scikit-learn)
• Deep knowledge of quantitative finance, portfolio theory and risk management
• Direct experience in Fixed Income, Rates with a strong interest in financial markets, economics and politics
• Trade execution experience across fixed income is not essential
• Strong stakeholder management skills and ability to work collaboratively across entity TFIs and senior management in a fast-paced environment

Essential Skills/Basic Qualifications:

• Undergraduate or equivalent degree in a quantitative subject (e.g. Mathematics, Econometrics, Mathematical/Quantitative Finance, Economics, Physics, Engineering)
• Expert in Python
• Strong quantitative skills
• Knowledge of portfolio theory
• Strong interest in macroeconomics and politics

Desirable Skills/Preferred Qualifications:

• Understanding of Barclays risk systems
• Technical knowledge across fixed income products and derivatives

Stakeholder Management and Leadership

• Builds and grows internal networks to better understand Investment teams’ requirements and each entities’ unique financial position regarding capital, liquidity and funding
• Builds and grows external networks to better understand market and economic developments to provide better allocation decisions, discover new investment opportunities and provide more insightful output for the CIO
• Openly shares knowledge and expertise to help deliver tangible progress at the individual and team development level
• Participates actively in the firm’s Citizenship programme, taking into account the needs of all our stakeholders and making decisions which, in the short and long-term, are positive for our customers and clients, shareholders, colleagues and the communities in which we operate.

Decision-making and Problem Solving

• Contributes to projects and change management to improve desk processes, regulatory remediation, or product portfolio development and expansion. Provides guidance and direction to other colleagues as part of this process
• Understands where the desk fits at firm level and leverages this understanding to suggest improvements to on-desk processes and improve governance and control structures

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making