About Us:

Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions.

Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape.

Job Summary:

We are seeking a highly skilled Sr. Quant Analyst to support Corporate Lending within the Investment Banking business. The role involves working closely with Pricing SMEs to develop, enhance, and maintain quantitative models and tools used in pricing and decision-making. The ideal candidate will have strong expertise in Excel-based modeling, VBA programming, and a deep understanding of advanced Excel functionalities.

Key Responsibilities:

• Collaborate with Pricing SMEs to support pricing and structuring of corporate lending deals
• Develop and maintain quantitative models and analytical tools in Excel
• Write efficient and scalable VBA code from scratch to automate workflows and enhance model functionality
• Build, optimize, and troubleshoot complex Excel models using advanced formulas
• Leverage modern Excel 365 capabilities (e.g., LAMBDA, LET, XMATCH, Dynamic Arrays) to improve model performance and usability
• Integrate and utilize Excel add-ins to enhance analytical capabilities
• Ensure accuracy, robustness, and documentation of all developed models
• Support ongoing model enhancements and process improvements

Key Requirements:

• 5–10 years of experience in quantitative analytics, preferably within corporate lending or investment banking
• Strong proficiency in Excel, including advanced formulas and data modeling techniques
• Hands-on experience writing VBA code from scratch
• Deep knowledge of Excel 365 functions such as LAMBDA, LET, XMATCH, and Dynamic Array formulas
• Experience working with Excel add-ins and integrating their functionality into models
• Strong analytical and problem-solving skills
• Ability to work closely with business stakeholders and SMEs

Preferred Qualifications

• Prior experience in corporate lending, credit risk, or pricing analytics
• Understanding of financial products and investment banking processes
• Strong attention to detail and ability to manage multiple priorities