Address the current infrastructure's shortcomings by gathering user feedback and ensuring consistent and accurate risk and P&L views.
Identify and implement effective methods to project P&L into the major risk factors that originate it.
Collaborate with our Technology partners to ensure accurate data exposure in the User Interface (UI).
Contribute to designing the new strategic infrastructure to replace the current system.
Partner with our Credit Data Tech team to ensure all exposed data is recorded and auditable.
Document the data product and streams, detailing model and implementation choices for defining various P&L and risk factors.
Coordinate with the QR team to align activities and agree on optimal implementation choices, working with sub-teams in Credit QR: Credit Cash, Credit Macro, Credit Exotic, and Loan, CLO, and Financing teams.
Provide support to our stakeholders about the intraday Risk and PnL, answering questions from our stakeholders.
Required Qualifications, Capabilities, and Skills:
Knowledge of the credit and fixed income business with a structured approach to problem-solving.
Strong software design and data science skills, with experience in Python preferred.
Interest in good software design principles.
Team player with excellent oral and written communication skills for interaction with trading, technology, and peer QR teams.
Attention to detail and a focus on quality deliverables.
Advanced degree in math, statistics, physics, financial engineering, or computer science.
Experience supporting a credit market-making desk with P&L or risk production responsibilities.
Exceptional analytical, quantitative, and problem-solving skills.
Proactive attitude with a natural interest in learning about our business, models, and infrastructure.
Ability to work effectively in a high-pressure environment.