About Cognitive Credit: Cognitive Credit is a technological pioneer transforming global credit markets through innovative data and analytics. We partner with the majority of the worlds leading buy-side and sell-side institutions, providing unparalleled insights into investment grade bond, high yield bond, and leveraged loan markets, across the US and Europe. By delivering the fastest, most accurate credit data paired with specialist research software, we empower our clients to navigate an ever-more-digitalized global credit market with agility and confidence. Role Summary: We are seeking an experienced Quantitative Analyst to lead our quantitative research and modeling efforts. In this role you will drive innovation and growth across our product lines by applying a quant finance framework to our proprietary, market-leading datasets. You will be collaborating with our Data and Engineering teams and working with clients to enhance our product offerings and grow our emerging quant services. The successful candidate will own the development of market valuation models and incorporate additional predictive analytics components across our web application, to support our growing client base and ensure continued expansion of our value proposition to clients. Key Responsibilities: Lead the design, development, enhancement, and maintenance of quantitative valuation models for bonds and loans, utilizing Cognitive Credit’s market-leading proprietary fundamental datasets as well as 3rd-party inputs. Apply advanced statistical methods, time-series analysis, machine learning, and financial theory to develop accurate, commercializable financial models. Collaborate closely with engineering, data science, product management, and commercial teams to maintain and enhance model features, data pipelines, and analytical tools. Ensure model validation, back-testing, and continuous performance assessment, prioritizing scalability, reliability, and integrity. Provide thought leadership and strategic guidance on quantitative analytics across the firm and ultimately the broader market. Engage directly with clients to explain methodologies and results. Support API clients (pre- and post-sale) with onboarding and bespoke project implementation. Qualifications: Advanced degree (Master’s or PhD) in quantitative finance, mathematics, computer science, physics, statistics, econometrics, or a related discipline. Minimum 5 years’ experience in quantitative modeling roles within finance, preferably focused on fixed income analytics in a leading buy-side or sell-side firm. Expert proficiency in common programming languages and technologies, including Shell scripting, Python, SQL, and relational databases. Familiarity with cloud-based technologies, especially AWS. Deep understanding of bond and loan markets, including fixed income valuation methodologies and risk metrics/modeling. Proven ability to manage complex projects and lead cross-functional collaboration. Strong communication skills, capable of clearly explaining sophisticated quantitative concepts to diverse audiences. Preferred Skills: Demonstrated success in publishing or presenting quantitative research in academic or industry forums. Experience working with compiled languages (C++) is beneficial. Why Join Cognitive Credit: Opportunity to lead and innovate at the forefront of credit market digitalization and financial analytics. At our firm you can apply all your experience gained from working at larger market incumbents to a fast-moving, independent, entrepreneurial business. Flexible, collaborative, and intellectually stimulating environment. This role can operate full-time remotely, as long as the candidate is able to travel to our head office in London periodically. Competitive compensation package including equity options. Commitment to continuous learning and professional development. Apply Today: Interested candidates are invited to submit their resume and cover letter highlighting relevant experience and motivation for applying. Join us in driving innovation and shaping the future of credit research and investing at Cognitive Credit!