Job Description

About The Company:Mphasis is a leading IT solutions provider, offering Applications, Business Process Outsourcing (BPO) and Infrastructure services globally through a combination of technology knowhow, domain and process expertise.The Role:The Associate is optimize and tune sanctions and name screening models to improve detection accuracy and compliance with OFAC and other regulations. Analyze and validate data from sanctions, payment, adverse media, and PEP screening systems to ensure their effectiveness and alignment with regulatory standards.Key Responsibilities:

• Perform optimization and tuning of sanctions and name screening systems, ensuring the accuracy and effectiveness of detection models.
• Design, analyze, and validate models used for sanction screening, payment screening, adverse media screening, and Politically Exposed Persons (PEP) screening.
• Lead quantitative testing to validate the performance of sanctions and name screening models, ensuring the classification accuracy and detection thresholds are optimal.
• Analyze large datasets to detect patterns and trends that may affect the performance of screening models.
• Evaluate the performance of models through testing frameworks, including unsupervised and supervised learning approaches.
• Develop, test, and implement custom scripts and tools using platforms such as SAS, Matlab, R, Python, SQL, and VBA for sanctions screening.
• Conduct testing and validation of compliance systems to ensure they meet regulatory requirements and business needs.
• Design and implement tuning methodologies and configuration processes for compliance programs, including what-if detection scenarios and threshold testing.

Skills Required:

• 3-5 years experience designing, analyzing, testing and/or validating OFAC sanctions and AML name screening models.
• Knowledge of Sanction and Name Screening Optimization and Tuning.
• Knowledge of Sanction Screening, Payment Screening, adverse media screening, PEP
• Proven track record of strong quantitative testing and statistical analysis techniques as itpertains to Sanctions models, including name similarity matching, classification accuracytesting, unsupervised/supervised machine learning, neural networks, fuzzy logicmatching, decision trees, etc.
• Working knowledge of one or more of the following programming platforms: SAS, Matlab,R, Python, SQL, VBA, etc.
• Familiarity implementing, testing or evaluating performance of sanctions compliance
• Familiarity of current compliance rules and regulations of the OFAC screening
• Prior experience designing compliance program tuning and configurationmethodologies, including what-if detection scenario analytics, excess over threshold, and sampling above/below-the-line testing.
• Ability to solve problems through mathematical and deductive reasoning.
• Proven excellence in execution in complex and demanding situations.
• Collaborative with strong interpersonal communication skills.

Qualifications & Experience:

• Bachelors Degree in Statistics, Mathematics, and Data Analysis/Programmingrelated degree.
• 3-5 Years experience in Fircosoft Tuning.

Required Skills SAS Matlab Python SQL, Fircosoft, Tuning, designing, testing, AML, Sanction ScreeningEducational Qualification Any GraduateFeb 24, 2025Pay Rate800000 - 950000 INR Per Annum3 - 5 Years Exp.1 Vacancy

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