Senior Quantitative Analytics Lead

Location: Midtown, NYC – Hybrid 3 days onsite

Duration: 6+ months rolling

Rate: Pay rate: W2 $875 – $1015 and C2C $975 – $1140

Position Overview:

We are seeking a highly experienced Senior Quantitative Analytics Lead to join the team. The successful candidate will play a pivotal role in the design, development, and implementation of a state-of-the-art risk engine. This is an exciting opportunity to work with a diverse team of experts and contribute to the transformation of our risk management capabilities across all asset classes, with a particular focus on Fixed Income cash products.

Key Responsibilities:

• Lead the development and implementation of a robust and scalable quantitative library for Fixed Income cash products (investment grade and high yield corporate bonds, fixed income ETFs, sovereign and EM bonds, loans, distressed debt, cocos, preferred stocks, trade claims, bond futures and bond future options). This quantitative library will be used for the next generation market risk platform for pricing, curve stripping, full-revaluation VaR, sensitivities and stress analysis. 
• Design a cohort methodology for building issuer specific curves and sector curves.
• Design the bond risk factor mapping waterfall for issuer specific or proxy curve mapping.
• Collaborate with cross-functional teams to ensure the risk engine aligns with business objectives and regulatory requirements.
• Participate in all aspects of the model life cycle, including design, implementation, testing, production, validation, and performance monitoring.
• Provide analytical support and insights during model release, ensuring robust testing and validation processes.
• Develop and maintain quantitative libraries for production, ensuring accuracy, efficiency, and scalability.
• Mentor and guide junior team members, fostering a culture of continuous learning and development.
• Stay abreast of industry trends, regulatory changes, and technological advancements to ensure the risk engine meets best industry practice.

Qualifications:

• 10-15+ years of experience in quantitative financial modeling, data science, and software development.

• Proven track record of leading and delivering complex quantitative projects. Capable of breaking down large projects and processes into smaller tasks and accurately estimating their time and scope. Articulate effectively the different options considered, analyze trade-offs, justify and define priorities.

• Deep understanding of risk management principles, methodologies, and regulatory requirements.
• Expertise in implementing statistical analysis and financial modeling in Python.
• Proficiency in full-stack software development.
• Exceptional analytical and problem-solving skills, with a keen attention to detail.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.
• Advanced degree in a quantitative field such as Financial Engineering, Mathematics, Statistics, or related discipline.
• Experience with AWS is a plus

Why Join Us:

• Be part of a transformative project that will shape the future of risk management.
• Work in a hybrid environment that values flexibility and work-life balance.
• Collaborate with a team of passionate and innovative professionals.