Ambitious Mathematics graduate wanted for this Quantitative Analyst position. The investment management industry stands at a fascinating crossroads where sophisticated mathematical theory meets real-world market dynamics. This Quantitative Analyst role offers recent graduates with exceptional analytical capabilities the chance to apply advanced statistical methods and machine learning techniques within a genuine fund environment, moving beyond theoretical frameworks into hands-on portfolio analytics and risk assessment. About the Firm A boutique investment management firm operating within London's competitive asset management landscape, this company is evolving its strategic direction with a focus on quantitative approaches to credit analysis. Having previously concentrated on equity strategies, the organisation recognises that mathematical rigour and computational skills will prove essential as it transitions its investment methodology. The culture values intellectual curiosity, analytical precision, and the ability to translate complex mathematical concepts into actionable investment insights. The Role As a Quantitative Analyst, you'll work directly with portfolio managers and senior investment professionals to develop analytical frameworks that support credit assessment and portfolio construction. This position represents a genuine opportunity to shape analytical processes during a pivotal strategic transition, where your quantitative skillset will contribute materially to the firm's evolving investment approach. You'll bridge the gap between theoretical finance and practical application, developing your understanding of fixed income markets whilst leveraging your mathematical and programming expertise. Your core responsibilities will include: - Building and refining quantitative models for credit risk assessment, applying statistical techniques to evaluate issuer creditworthiness and default probability - Developing Python-based analytical tools to process and analyse fixed income market data, creating visualisations that communicate complex risk metrics to investment teams - Conducting backtesting and validation of quantitative strategies, documenting methodology and results with academic rigour - Supporting portfolio construction by analysing correlation structures, duration profiles, and yield curve dynamics across credit instruments - Collaborating with investment professionals to translate quantitative findings into practical investment recommendations - Researching emerging quantitative techniques applicable to credit markets, staying current with academic literature in financial mathematics Essential qualifications and experience: - Strong academic background in Mathematics, Statistics, Physics, or related quantitative discipline (First Class or high 2:1 honours degree) - Postgraduate qualification in Financial Mathematics, Quantitative Finance, or similar field demonstrating specialised knowledge - Demonstrable programming ability in Python, with experience using libraries such as NumPy, Pandas, and scikit-learn for data analysis - Genuine intellectual curiosity about financial markets and investment management, with clear motivation for pursuing a quantitative finance career - Strong analytical reasoning skills with ability to approach complex problems systematically - Excellent communication abilities, capable of explaining mathematical concepts to non-technical audiences Work Permissions You must have the right to work in the United Kingdom. Visa sponsorship is not available at this time. What you\'ll gain: - Competitive salary of £30,000-£40,000 reflecting your academic achievements and potential - Direct exposure to institutional investment processes and credit market dynamics - Mentorship from experienced investment professionals who value quantitative rigour - Professional development pathway with clear progression as analytical capabilities develop - Opportunity to contribute meaningfully during a strategic transition period - Central London location with excellent transport connectivity - Collaborative environment that rewards analytical thinking and intellectual contribution Building a Career in Quantitative Finance The intersection of mathematics and finance continues to expand as investment firms increasingly rely on quantitative methods for decision-making. For graduates with strong analytical foundations, quantitative analyst roles provide an exceptional entry point into the investment industry, offering exposure to sophisticated financial theory whilst developing practical market knowledge. As firms evolve their strategies to incorporate machine learning and alternative data sources, professionals who combine mathematical expertise with genuine market understanding will find themselves particularly well-positioned. The skills developed in quantitative finance roles—rigorous analysis, clear communication of complex ideas, and systematic problem-solving—create pathways toward portfolio management, risk leadership, or specialised quantitative research positions. The Opportunity Hub UK specialises in connecting mathematically talented graduates with investment firms seeking analytical excellence. This Quantitative Analyst position represents a genuine career-building opportunity for ambitious professionals.