Lead Quantitative Analyst, Credit Ratings

We are looking for a Quantitative Analyst Team Lead to manage and mentor a team of 6-8 quantitative analysts in the Structured Finance Analytics space. This leadership role will require you to provide technical and managerial guidance, ensure the timely delivery of projects, and foster a collaborative and efficient work environment. You'll interact with onshore teams, implement process improvements, and drive the development of data and analytical solutions that meet business and regulatory needs.

Key Responsibilities:

• Team Leadership & Mentorship:
• Manage and mentor a team of 6-8 Quant Analysts, fostering a culture of collaboration, growth, and continuous improvement.
• Guide the team on technological enhancements and best practices.
• Ensure the quality and timeliness of deliverables and prioritize work effectively.
• Regularly report on team performance and project progress.
• Collaboration & Communication:
• Communicate regularly with the Global Structured Finance Analytics team and Credit Technology team to ensure alignment on priorities, tasks, and project requirements.
• Ensure that developed applications meet defined requirements and pass User Acceptance Testing (UAT) prior to release.
• Process Improvement & Innovation:
• Identify and implement process efficiencies and automation opportunities to optimize team performance.
• Lead efforts to transform, improve, and integrate data based on business needs, ensuring high-quality outcomes.
• Data Management & Analysis:
• Work with large datasets, utilizing databases such as SQL, AWS S3, and Athena to manage structured data.
• Actively participate in design and build phases of analytical solutions to ensure high-quality deliverables.
• Collect, organize, and analyze data for use in criteria development, ratings, and research reports.
• Quality & Accuracy:
• Take ownership of key deliverables and ensure they are accurate, timely, and of the highest quality.
• Ensure compliance with regulatory and company policies and procedures.

Requirements:

• Experience:
• Minimum 9-11 years of relevant experience in Credit Modeling, Model Validation, or related roles in financial analytics.
• Strong background in working with large data sets, databases, and quantitative analysis.
• Education:
• MBA (Finance), BTech, or PhD (Math) from a Tier I college.
• Solid knowledge in finance, statistics, and behavioral sciences.
• Technical Skills:
• Expertise in Python/Anaconda and the Data Science stack (Jupyter, Pandas, NumPy).
• Proficiency in Tableau, Microsoft Excel, and MSSQL.
• Familiarity with SAS/R is a plus.
• Understanding of AWS infrastructure and cloud-based data storage solutions (e.g., AWS S3, Athena) is an added advantage.
• Soft Skills:
• Strong analytical skills with the ability to solve complex problems.
• Highly organized with the ability to handle multiple tasks and meet tight deadlines.
• Excellent communication and interpersonal skills, with the ability to work effectively across teams.
• Ability to lead by example, driving team success and fostering a positive, collaborative work environment.

Additional Information:

• You will work in a fast-paced environment, engaging in high-impact projects that contribute directly to business goals.
• The role offers the opportunity to make strategic decisions and influence team direction.
• The position requires close interaction with onshore teams, ensuring alignment and successful execution of projects.

Interested in leading a talented team of analysts and driving innovation in structured finance analytics Apply now to join us and make an impact on global financial markets!