ALM and IRRBB- Manager/Lead

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. Operating in more than 45 countries across five continents, we leverage state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients" business impact and strategic decision-making. With a team of over 4,500 talented professionals worldwide, we offer a dynamic, growth-oriented, and meritocracy-based culture that emphasizes continuous learning, skill development, work-life balance, and equal opportunity for all. Recognized by Great Place to Work in various countries, we provide a rewarding environment for individuals looking to make a significant impact. As a member of the Risk and Quant Solutions (RQS) team at Evalueserve, you will be part of one of the fastest-growing practices within the organization. Working with cutting-edge technology, you will address some of the world's largest financial needs and contribute to improving decision-making processes in the banking sector. Your responsibilities at Evalueserve will include leading and overseeing the development and implementation of Asset Liability Management (ALM) and Interest Rate Risk in the Banking Book (IRRBB) models for a bank. You will conduct advanced data analysis, collaborate with the model development team to enhance existing models, work directly with clients to provide tailored solutions in ALM and IRRBB management, and ensure timely completion of projects with a strong sense of urgency. Additionally, you will manage prototype source data migration, develop and deliver training programs, and contribute to strategic decision-making processes through your expertise. We are looking for individuals with a Bachelor's or Master's degree in business administration, finance, computer science, or related fields. The ideal candidate will have a deep understanding of ALM concepts, IRRBB, and Internal Liquidity Adequacy Assessment Process (ILAAP), as well as proficiency in statistical methods and tools such as logistic regression, Bayesian statistics, and time series analysis. Strong skills in Python and R, along with experience in developing models from scratch, are essential for this role. Effective communication, stakeholder management, and leadership skills are also key requirements. Please note that the job description provided is for informational purposes and may be subject to periodic modifications to align with evolving circumstances. Accuracy and authenticity in the information you provide are crucial for your candidacy, as they will be verified during the Background Verification Process. If you require any assistance, your Talent Acquisition Single Point of Contact (TA SPOC) is available to support you throughout the process.,