Senior Analyst, I3

We are seeking a Senior Quantitative Analyst to join the Investment Innovation, Integration & Trading (I3T) team within the Global Liquid Markets (GLM) unit. In this role, you will apply advanced quantitative methods, data modeling, and emerging technologies to enhance investment decision-making across various fixed-income strategies. You will collaborate with team members, Portfolio Managers, and Traders to tackle high-profile projects involving portfolio construction, performance assessment, and the development of new investment strategies. This position is pivotal in advancing our team’s expertise and helping LMI thrive in the constantly evolving global financial landscape. #LMI

Responsibilities

Quantitative Model Development: Design and implement quantitative methods and tools for portfolio construction, performance & attribution, and investment strategies in collaboration with Portfolio Managers, Traders, and Risk Managers.

Analytics & Visualization: Build and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI to translate complex data sets into actionable insights.

Machine Learning & AI: Employ statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis, develop investment strategies, and enhance decision-making processes.

Innovation & Continuous Improvement: Proactively identify opportunities to upgrade capabilities and stay at the forefront of fixed-income analytics. Monitor industry trends, market developments, and new analytical tools to maintain a competitive edge.

Project Coordination: Oversee multiple projects simultaneously, ensuring timely delivery of high-quality results. Maintain meticulous attention to detail and effective communication throughout all stages of project execution.

Qualifications

• Numerate self-starter with a bachelor’s degree in finance, Economics, Mathematics, Computer Science, Engineering, or a related field (Master’s degree a plus)
• 3+ years of experience in portfolio analysis or investment management, with a strong preference for quantitative fixed-income experience.
• Must have hands-on experience with Python, SQL and familiarity with BI/visualization tools (Dash, Power BI, Jupyter Notebooks).
• Nice-to-have, Practical knowledge of machine learning and AI (including GPT-based models) and their applications in financial analysis.
• Preferred experience with BlackRock’s Aladdin, Bloomberg, and Macrobond for data extraction, portfolio monitoring, and analytics.
• Tenacious problem-solving abilities with a focus on efficiency and effectiveness.
• Strong attention to detail and passion for learning.
• Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
• Demonstrated interest in investments and a desire to delve into the intricacies of fixed-income markets.

Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines.  For country-specific details, please consult your local recruiting / HR team.