Job Description

About MUFG Global Service (MGS):

MUFG Global Service (MGS) is one of the worlds leading financial groups. Headquartered in Tokyo and with over 360 years of history, MGS has a global network with approximately 2,100 locations in more than 50 markets. The Group has about 160,000 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 of 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.

Established in 2019, MUFG Global Service (MGS) is 100% subsidiary of MUFG Bank Ltd having offices in Bengaluru and Mumbai. MGS 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. With a current headcount of around 250, MGS has plans to significantly ramp-up its growth over the next 18-24 monthswhile servicing MUFGsglobal network across Americas, EMEA and Asia Pacific.

For more information, visit https://www.mufg.jp/english

Location : Bengaluru

Must-have Skills : SQL or R or SAS or Visual Basic, Data Modeling or Statistical Modeling or Model Development or Risk Model or Model Validation or Model Governance

Purpose of Role:

- Reporting to the Director of Data Insights and Analytics, part of Global Financial Crimes Division (GFCD) Operations, Intelligence & Analytics, this global position leads the governance and documentation function covering all financial crime models, including the areas of Bank Secrecy Act (BSA) / Anti-Money Laundering (AML) / Office of Foreign Assets Control(OFAC).

- The successful candidate will partner closely with the Quantitative Risk Control (QRC) team, which has oversight of all Bank models in the Americas region, as well as the QRC counterparts in all other regions.

- The candidate will manage a team of analysts who coordinate and track all work items related to financial crime model management, including, but not limited to, establishing and maintaining an efficient global model governance framework; tracking model-related deadlines, including validation timelines

- Managing and executing model performance reviews; facilitating model governance meetings; and creating and/or updating all model documentation.

- The successful candidate will also spearhead for GFCD the establishment of a new global model governance framework applicable to non-Americas financial crime models, which will require close coordination with the Tokyo Head Office.

Main Responsibilities:

- Manage a team of analysts who are responsible for all day-to-day model governance activities.

- Build and maintain positive relations with each region and all model stakeholders, including the Financial Crimes Offices in the Americas, EMEA, APAC and Tokyo; QRC; the GFCD global teams; and all model users.

- Coordinate with QRC and its global counterparts on model validation engagements, including planning model validations, provisioning of requestitems, performing and overseeing issue remediations.

- Document and ensure models are in compliance with Model Governance Policies on Change Management, Model Performance and Operational Controls.

- Oversee the creation and updating of all model owner documentation.

- Work with model users to ensure adequate testing and documentation of performance monitoring.

Candidate Profile:

Skills and knowledge:

- Strong writing and editing skills.

- Statistical modeling/data mining (decision tree, logistic regression, cluster analysis, etc.) experience related to BSA/AML in the banking industry is a plus.

- Experience accessing and analyzing large volumes of data using SQL, SAS, STAT, R, SAS Enterprise Guide,or SAS EMiner is a plus.

- Other technical skills preferred: Advanced or working knowledge in one or more of the following: MS SQL and Access, Visual Basic, HTML, JavaScript, Python, R, database design, and/or business applications (MS Office suite)is a plus.

- Knowledge of customer risk typologies is a plus.

Education & professional qualifications:

- A Bachelors degree in quantitative fields,such as economics, mathematics, statistics, and computer science/engineering or other relevant discipline.

Experience:

- Overall experience of 10-15 years

- Minimum of 10 years of experience with at least 3 years of direct related experience in model risk management in BSA/AML/KYC(CDD).

Shift timing : 3 PM to 12 AM.

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