Global Financial Crimes - Data Platform (AML & Sanctions), Assistant Vice President
Global Financial Crimes - Data Platform (AML & Sanctions), Assistant Vice President
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Job Description
Do you want your voice heard and your actions to count
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG) one of the worlds leading financial groups. Across the globe were 120000 colleagues striving to make a difference for every client organization and community we serve. We stand for our values building long-term relationships serving society and fostering shared and sustainable growth for a better world.
With a vision to be the worlds most trusted financial group its part of our culture to put people first listen to new and diverse ideas and collaborate toward greater innovation speed and agility. This means investing in talent technologies and tools that empower you to own your career.
Join MUFG where being inspired is expected and making a meaningful impact is rewarded.
The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.Job Summary
Reporting into the Global Financial Crime Division (GFCD) Design Tuning and Optimization team this new position has been created to establish GFCDs Global Data Platform capabilities for MUFG. This role supports the Transaction Monitoring and Sanctions Screening functions providing strategic requirements design and executing data analytics on MUFGs global data platform.
Major Responsibilities
Lead the gathering and documentation of business requirementsfor GFCDs global data platform focusing on advanced data analytics to combat financial crimes.
Provide expert guidanceon best practices for creating sustainable data pipelines and employing cutting-edge analytical techniques for transaction analysis sanctions screening and the seamless integration of core banking systems payment processing platforms and customer databases.
Using Databricks analyze complex data setsto identify patterns and anomalies indicative of financial crimes utilizing advanced data mining and machine learning techniques.
Develop test and maintain robust ETL processes and Python scriptsto support sophisticated analytics
Conduct thorough exploratory data analysis (EDA)to uncover actionable insights and present findings to various partners driving informed decision-making.
Build tuning and optimization utilities to support the configuration of downstream transaction monitoring and sanctions screening applications.
Ensure strict compliancewith technical best practices standards and policies maintaining the highest level of data integrity and security.
Support cross-functional teamssuch as GFCDs centralized reporting functions data governance and other operational functions fostering a collaborative and efficient work environment.
Qualifications
Bachelors degree in Computer Science Information Systems Information Technology or related field.
5 years of experience in financial crimes data analytics within the financial services industry.
Transaction Monitoring: Experienced in monitoring and analyzing transactions to identify suspicious activities and red flags indicative of money laundering terrorism financing and other financial crimes
Sanctions Screening: Skilled in conducting sanctions screening to ensure compliance with regulatory requirements and prevent transactions involving sanctioned individuals or entities.
Strong Technical Skills: Expertise in Python Scala and SQL with familiarity with rules-based and machine learning models and model governance; ideally those relevant to transaction monitoring and sanctions screening
Proficiency in Databricks and Apache Spark: Skilled in developing scalable data pipelines and performing complex data analysis using Databricks and Apache Spark with experience in Delta Lake for efficient data storage and real-time data streaming applications.
Relevant Certifications: Databricks Certified Data Analyst Associate Databricks Certified Machine Learning Associate Databricks Certified Data Engineer Associate
Experience with transaction monitoring sanctions screening and financial crimes data sources.
Excellent communication and presentation skills with the ability to convey complex data insights to non-technical stakeholders.
Ability to manage multiple priorities and work streams effectively.
The typical base pay range for this role is between $89K - $120K depending on job-related knowledge skills experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits retirement plans educational assistance and training programs income replacement for qualified employees with disabilities paid maternity and parental bonding leave and paid vacation sick days and holidays. For more information on our Total Rewards package please click the link below.
We will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance (ii) the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (iii) the Los Angeles County Fair Chance Ordinance and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment if any.The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race color national origin religion gender expression gender identity sex age ancestry marital status protected veteran and military status disability medical condition sexual orientation genetic information or any other status of an individual or that individuals associates or relatives that is protected under applicable federal state or local law.Required Experience:
Chief
Employment Type
Full-Time
