Assistant VP, Regional Data Modeler, Gp Compliance

UOB

Central (LA)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

UOB is seeking an Assistant VP, Regional Data Modeler in Central Louisiana. This role involves developing advanced statistical models to analyze large datasets, collaborating with teams for data-driven process improvements, and effectively communicating findings to senior management. Candidates should possess 5-10 years of experience in tech, with extensive knowledge of data analytics and Python/Spark. A Bachelor’s degree in a relevant field is required, with preference given to those with a Master’s.

Qualifications

  • 5 to 10 years of experience in tech industry.
  • 3 to 5 years in data engineering, data analysis, or data science.
  • Experience in deploying and scaling ML/AI models.

Responsibilities

  • Develop and implement advanced statistical models.
  • Collaborate with cross-functional teams for process improvements.
  • Present findings to senior management clearly.

Skills

Proficiency in Python/Spark
Experience with machine learning libraries
Strong understanding of statistical analysis
Excellent communication skills
Ability to work independently and in a team

Education

Bachelor's degree in Computer Science, Statistics, or related field
Master's degree preferred

Tools

Hive/Impala
Oozie
Hadoop

Job description

## Assistant VP, Regional Data Modeler, Gp ComplianceApplyremote type: Onsitelocations: Central Region (City Area)time type: Full timeposted on: Posted 30+ Days Agojob requisition id: JR62641**About UOB**United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.**Job Description****Job Responsibilities**: • Develop and implement advanced statistical models to analyze large datasets • Collaborate with cross-functional teams to identify opportunities for process improvement based on data analysis • Present findings and recommendations to senior management in clear and concise reports • Stay updated with the latest advancements in data science and machine learning techniques **Job Qualifications:**Education: Bachelor’s degree in Computer Science, Statistics, Mathematics or related field; Master’s preferred Experience: 5 – 10 years of experience working in tech industry and 3 – 5 years of experience in a data engineering and/or data analysis or data science role, ideally in the financial services industry Skills: Proficiency in Python/Spark to code complex data engineering use cases; Experience with machine learning libraries such as scikit-learn, TensorFlow. Experience in data engineering tools such as Hive/Impala, Oozie, Hadoop, etc. Strong understanding of statistical analysis and machine learning algorithmsExperience in deploying and scaling ML/AI models Excellent communication skills, both written and verbal Ability to work independently and as part of a team## **Additional Requirements**Develop, Engage, Execute, Strategise, University-Bachelor - Data Science & AnalyticsBe a Part of the UOB FamilyUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
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