Avp-arm

About MUFG Global Service MGS MUFG Bank Ltd is Japan s premier bank with a global network spanning in more than 40 markets Outside of Japan the bank offers an extensive scope of commercial and investment banking products and services to businesses governments and individuals worldwide MUFG Bank s parent Mitsubishi UFJ Financial Group Inc MUFG is one of the world s leading financial groups Headquartered in Tokyo and with over 360 years of history the Group has about 120 000 employees and offers services including commercial banking trust banking securities credit cards consumer finance asset management and leasing The Group aims to be the world s most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers serving society and fostering shared and sustainable growth for a better world MUFG s shares trade on the Tokyo Nagoya and New York stock exchanges For more informat About Us MUFG Bank Ltd is Japans premier bank with a global network spanning in more than 40 markets Outside of Japan the bank offers an extensive scope of commercial and investment banking products and services to businesses governments and individuals worldwide MUFG Banks parent Mitsubishi UFJ Financial Group Inc MUFG is one of the worlds leading financial groups Headquartered in Tokyo and with over 360 years of history the Group has about 120 000 employees and offers services including commercial banking trust banking securities credit cards consumer finance asset management and leasing The Group aims to be the worlds most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers serving society and fostering shared and sustainable growth for a better world MUFGs shares trade on the Tokyo Nagoya and New York stock exchanges MUFG Global Service Private Limited Established in 2020 MUFG Global Service Private Limited MGS is 100 subsidiary of MUFG having offices in Bengaluru and Mumbai MGS India has been set up as a Global Capability Centre Centre of Excellence to provide support services across various functions such as IT KYC AML Credit Operations etc to MUFG Bank offices globally MGS India has plans to significantly ramp-up its growth over the next 18-24 months while servicing MUFGs global network across Americas EMEA and Asia Pacific About the Role Position Title AVP Corporate Title AVP Reporting to VP Location Bengaluru Job Profile KEY ACCOUNTABILITIES Credit Economic Capital Modeling Support MUFG Global and Regional Economic Capital production process Run maintain and update the monthly production processes for generating loan-level Economic Capital results Perform Monte Carlo simulations of Economic Capital catastrophic losses that occur in crisis scenarios using vendor models such as Moody s Risk Frontier Assist standardization of Economic Capital modeling across ALL MUFG regions Align EC modeling parameters e g quantification of systematic risks in individual credit position PD LGD correlation etc Develop enhance MUFG s Economic Capital production process Conduct peer code reviews promote best coding practice explore cutting-edge technologies and tools for production process automation Work with stakeholders and partners across MUFGs global organization often with conflicting interests Develop and promote tools and technology to facilitate stakeholder communications Credit Risk Framework Manage credit risk appetite and concentrations management limit frameworks Link credit risk appetite and concentration limits to MUFG business strategy capital earnings Support MUFG credit portfolio quality vs current and future economic market trends Participate in policy review and updates in coordination with key regional and global stakeholders As SME assist risk identification and materiality measurement within the Americas Region Credit Loss Forecasting Models Forecast stress credit losses according to preformatted macroeconomic scenarios Implement and update proprietary credit risk models e g Probability of Default Loss Given Default Exposure at Default for all loan exposures and loan types Assess and standardize loan data extraction from numerous regional and global systems supporting credit portfolio modeling Job Requirements Excellent data analytics skills gained through hands-on experience including familiarity with large data sets and the tools for data analysis e g R python Pandas Experience using Git Bitbucket version control applications to manage production-level code Understanding or ability to quickly learn credit management platform software i e credit loss forecast models stress lost forecasting Monte Carlo loss simulation etc Excellent communication skills oral and written also interpersonal skills Experience with statistical tools and techniques regression models multivariate analysis machine learning deep learning within financial services Model development capabilities EXPERIENCE ABILITIES Overall need to have 8 years of experience in IT domain 5 years of experience with data analytics skills gained through hands-on experience including familiarity with large data sets and the tools for data analysis e g R python Pandas 3 years work experience with credit analytics or equivalent function preferred 2 years work experience in or supporting Front Office function e g credit markets etc within a major commercial or investment bank insurance company or similar international financial business Understanding of or direct Experience with cloud computing i e AWS Active participation in leading advocating projects Strong teamwork abilities Excellent critical thinking problem-solving abilities Highly motivated strong attention to detail organized Minimum Bachelors degree Masters PhD welcome with emphasis on quantitative methods and tools i e Computer Science Engineering Finance other disciplines Equal Opportunity Employer The MUFG Group is committed to providing equal employment opportunities to all applicants and employees and does not discriminate on the basis of race colour national origin physical appearance religion gender expression gender identity sex age ancestry marital status disability medical condition sexual orientation genetic information or any other protected status of an individual or that individual s associates or relatives or any other classification protected by the applicable laws