Job Description: You will be responsible for validating AML/BSA and Financial Crimes models and provide effective challenge to identify key model risk issues. Write model validation reports and develop model validation standards. As a thought leader you will define the validation scope, and maintain model validation key operating procedures and assist with model risk team including model risk policy, inventory, project management, and help guide junior team members on model validations. Job Responsibilities: Participate in the development and maintenance of testing documentation, procedures, and tools to automate and standardize validation processes Creative problem-solving abilities and ability to interpret information and regulatory requirements to advise clients on compliance issues by implementing sound solutions. Participate in firm-wide initiatives aimed at continually improving testing processes Contribute to strong client relationships through positive client support and sound expertise BSA/AML and OFAC laws and regulations as well having a some understanding and experience of how to apply requirements in financial service environment Work individually or as part of a team to execute model validation activities and testing against BSA/AML and OFAC models, including assessing risks related to model design, data, output, and governance. An understanding of internal control environment that is appropriate to mitigate the risks with BSA/AML and OFAC laws and regulations. Identify risks, assess mitigating controls, and make recommendations on improving the control environment Participate in ongoing training programs to maintain and grow knowledge in BSA/AML and OFAC regulations and industry best practices. Engage in project lifecycle activities from initiation to close-out, including conducting risk assessments and client walkthroughs, preparing, and reviewing work product, and preparing client deliverables Job Requirements: Hands-on experience in data mining/analytics and familiarity with the regulatory environment Excellent understanding of the banking industry and business lines Experience in development and/or validating probabilistic models, Bayesian models, decision trees, random forest, ensemble models, neural networks, PCA/PCR, logistic/linear regression, linear / non-linear optimization, support vector machines • Previous experience in Fraud Detection, Hate Speech, SPAM filter model, cryptography, phonetics, concept search, fuzzy logic, approximate string matching Good understanding of AML regulations such as BSA, UK Patriot Act, AML Directives etc. Strong knowledge of AML model validation and model risk management with at least 4-6 years of relevant experience in financial crime analytics. Rich experience in threshold tuning & otpimisation is a must. Well versed with threshold tuning methodologies & implementation. Exposure to ATL/BTL Strong exposure to any of industry standard vendor tools such as Mantas, Actimize-SAM, EFT, Trade Surveillance, SAS AML, Norkom Programing skills such as R, Python, TensorFlow, SQL, PyTorch, Theano • Advanced skills in regular expression (grep, grepl), formal language theory, automata theory, network theory, phonetics Master's degree in computational science, engineering, hard sciences, computational linguistics, applied mathematics, physics, behavioral sciences, PhD would be a plus Job Details: Company: Silicon Valley Bank Vacancy Type: Full Time Job Location: Chicago, IL, US Application Deadline: N/A Apply Here vacanciesforyou.net
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