AML (Anti Money Laundering) Model Development

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. In this role, you will be responsible for AML (Anti Money Laundering) Model Development for a BFS client in North America Responsibilities You will be primarily working for the centralized advanced analytics team of a banking firm to help develop leading edge AML models for transaction monitoring, name matching, watch-list monitoring, OFAC Screening, customer risk scoring as well as providing input to the framework for model development. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc. You will also be responsible for coordinating with auditors and model development teams to ensure the AML and Enterprise Modeling Governance standards are followed; Your activities will include, but will not be limited to the following: •Provide analytical support including tuning, testing and calibration of OFAC screening models. •Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding AML policies and procedures •Accomplish the objectives of the Enterprises' AML Program through effective oversight and support of critical AML applications •Assess the quality of the data for model development as well as inputs to the model, providing recommendations to improve the data quality at the source •Developing rule based, statistical or machine learning based AML models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare end to end model documentation •Propose recommendations to improve monitoring systems and capabilities based on identified risk and control gaps Qualifications we seek in you Minimum qualifications •Experience in financial crime preferably in AML area •Experience in developing, validating models and risk management of anti-money laundering related models •Statistical modeling experience including regression, time series, etc. •Detailed knowledge of data analysis / analytics / mining techniques •Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets •Strong scripting and automation experience using SAS/Python/R etc. •Master's degree in a quantitative discipline (Statistics/Economics/Finance etc.) •Strong client management and communication/presentation skills - written & verbal •Self-driven, proactive, "can-do" attitude. Ability to work under ambiguity and with minimal supervision •Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units •Strong project management orientation with ability to work under time-sensitive commitments •Lead projects and teams - provide thought leadership, technical guidance, training, and oversight Preferred qualifications •Strong networking, negotiation and influencing skills •Prior experience in financial crime, risk assessments Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. "The approximate annual base compensation range for this position is $140,000 to $160,000. The actual offer, reflecting the total compensation package plus benefits will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity." "Los Angeles California-based candidates are not eligible for this role"

Created: 2024-10-31