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!
Skills Required
Python, Tableau, Sql, Aws, Mssql