As a Pricing Direct Evaluator - Analyst in Emerging Markets, you will join a revenue-generating team that provides independent pricing and analytics for 2.8 million fixed income and derivative instruments, utilizing real-time market intelligence from buy-side and sell-side market participants. You will play a crucial role in providing accurate and insightful valuations, which are essential for our clients' investment decisions and risk management strategies.
Job responsibilities
- Generate daily valuations of fixed income securities for multiple market closes, entailing start-to-end responsibilities. This includes market data collection and analysis, price generation, quality control, and dealing with client queries.
- Develop and maintain sophisticated statistical and machine-learning models, aiming at improving pricing and quality control processes. Utilize advanced quantitative techniques and financial modeling tools such as Python, and KDB.
- Conduct research and development to create cutting-edge methodologies and infrastructure to increase the accuracy and speed of valuations. Opportunities for attending industry conferences.
- Collaborate with trading desks, market participants, and research teams to enhance market knowledge and understanding of market pricing.
- Address all client concerns daily with an emphasis on providing first-class service and quality, whether via emails, calls, or in-person meetings.
- Explore new areas of product growth with a focus on autonomously developing innovative ideas and solutions.
Required qualifications, capabilities, and skills
- Firm understanding of the principles of fixed income and data science.
- Strong software development skills in Python and Excel VBA, with experience in ML and statistical libraries, or other financial modeling tools.
- Ability to collect and analyze large amounts of market information, extract its essence, and incorporate the findings into valuation matrices and processes.
- Knowledge of Machine Learning, Statistical, and Artificial Intelligence techniques.
- Clear, logical thinker with strong quantitative abilities.
- Ability to thrive in a fast-paced environment of real-time market pressures, remaining focused on client needs.
Preferred qualifications, capabilities, and skills
- Previous market or quantitative experience in Emerging Markets Fixed income products (Corporate bonds, Money Markets, Private placements, etc.).
- Previous experience in implementing machine learning models in a business environment.
- Good communication skills, both oral and written.
- Bachelor's degree or higher, ideally in a STEM field such as Computer Science, Financial Engineering, Mathematics, Physics, Finance, or Economics.