Sr Data Scientist
Sr Data Scientist
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Job Description
The Senior Data Scientist position requires an experienced professional who is passionate about data analysis data modeling using machine learning and product development to help us build and maintain statistical & ML/AI based solutions in the AML & Sanctions Compliance space specifically supporting the Transaction Monitoring and Client Due Diligence programs. The candidate should be a motivated selfstarter and quick learner willing to work in a highpressure fast paced environment and globally located teams
The candidate will be extensively involved in handson querying analyzing proposing and implementing optimization solutions conduct user acceptance testing and support business stakeholders enquiries on ad hoc basis. Successful candidate will be working in the Compliance Technology Operations (CTO) team which is part of the Global Ethics and Compliance organization
Essential Functions:
Strong analytical skills with the ability to conduct large scale data analysis through all stages: understand business goal and strategy formulate analytic approach perform data extraction and exploration and translate results into actionable items
Expertise in AI techniques (Machine learning natural language processing deep learning) including exposure to Generative AI technologies and their applications. Experience with Python libraries such as pandas numpy matplot and Scikit
Deployment of highperformance scalable AI/machine learning (ML) algorithms for building transaction monitoring and risk scoring solutions to improve the quality of alerts and investigation process
Conduct periodic tuning of machine learning models using largescale datasets to optimize models for performance efficiency and robustness
Design and conduct experiments to evaluate the model performance using appropriate metrics and statistical analysis to measure and interpret results
Supervise and work with the Model Risk Management team as an independent contributor to support model validations across multiple business entities. Ensure the accuracy reliability and compliance of models by overseeing and conducting thorough validations
Collaborate with internal stakeholders across business units and regulated entities to enhance alignment in implementing MRM policy/standards and promote MRM best practices
Prepare technical documentation including model architecture implementation details and model methodology. Review model reports and communicate findings insights and recommendations to both technology and business stakeholders
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualification
Bachelors/Masters Degree in Engineering Economics Statistics Mathematics
or related technical discipline
Preferred Qualification
At least 5 years of experience in data analysis reporting statistical analysis
research data mining trend analysis etc.
At least 5 years of experience in machine learning model development and
implementation using tools like SAS SQL Python/R Hive and/or Spark
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
