Lead/manager- alm with irrbb
6 days ago
Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all.
About Risk and Quant Solutions (RQS)
Risk and Quant is one of the fastest growing practices at Evalueserve. As an RQS team member, you will address some of the world's largest financial needs with technology proven solutions. You would solve these banking challenges and improve decision making with award winning solutions.
What you will be doing at Evalueserve
Lead and oversee the development and implementation of ALM (Asset Liability Management) and IRRBB (Interest Rate Risk in the Banking Book) models for a bank.
Conduct advanced data analysis and queries to support strategic decisions and process improvements.
Collaborate with the model development team to enhance existing models to resolve any issues raised or findings shared by internal validation team and also develop new models that are supplement to the main capital calculation processes.
Work directly with clients to understand their needs and provide tailored solutions in ALM and IRRBB management.
Manage prototype source data migration in established processes and production codes.
Develop and deliver training programs to build competencies in ALM and IRRBB management.
Ensure timely completion of projects with a strong sense of urgency.
What we're looking for
Education: Bachelor's/master's degree in business administration, Finance, Computer Science, or related fields.
Deep understanding of ALM concepts, IRRBB, and ILAAP (Internal Liquidity Adequacy Assessment Process).
Extensive knowledge of liquidity ratios and their changes, and how they affect funding sources.
Familiarity with feeder models for ALM and IRRBB, including yield curve models, prepayment models, non-maturity deposit models etc.
Proficiency in statistical methods and tools such as logistic regression, Bayesian statistics, Markov chain processes, and time series analysis.
Advanced skills in Python and R, including object-oriented programming and automation capabilities.
Clear understanding of statistical metrics used to assess model performance and ability to make nuanced observations.
Experience in advisory projects for ALM in the Middle East.
Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.
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