8 Sas Aml Jobs

Entity :- Accenture Strategy & Consulting Job location :- Gurgaon, Bangalore, Pune & Mumbai About S&C - Global Network :- Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role The ideal candidate shall, Help the team in designing, developing, validating, monitoring, and deploying advanced Financial Crime models for different client problems. Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Have ability to consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights. Have strong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders. Qualifications Who we are looking for? Have Master’s degree in mathematics, statistics, economics, or related field or MBA from top-tier universities with a strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work. 3 - 5 years of relevant Financial Crime Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Anti Money Laundering, Financial Crime, Transaction Monitoring, Customer KYC/CDD, Customer screening, etc. Advanced skills in development, validation and monitoring of AML analytics models, strategies, visualizations. Understanding of evolving methodologies/ tools/ technologies in the Financial Crime management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies. Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as Fenergo, NICE Actimize, SAS AML, Quantexa, Ripjar, etc. Key Responsibilities: Engagement Execution: Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of financial crime analytics/management solutions for Accenture’s clients. Advise clients on a wide range of Financial Crime Management/ Analytics initiatives. Projects may involve Financial Crime Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable. Practice Enablement: Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Financial Crime Analytics and Management. Travel:Willingness to travel up to 40% of the time. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

About The Role : Entity :- Accenture Strategy & Consulting Title :- Level 9 Ind & Func AI Decision Science Consultant Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accenture's clients. Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Travel:Willingness to travel up to 40% of the time Professional Development Skills:Project Dependent Qualifications Job Qualifications Who we are looking for? 3-5 years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: o Banking Fraud, Payment Fraud, Credit Card Fraud, Retail o Fraud, Anti Money Laundering, Financial Crime, Telecom o Fraud, Energy Fraud, Insurance Claims Fraud etc. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects

Job Summary: The SAS AML Analyst/Consultant will be responsible for implementing, configuring, and optimizing SAS Anti-Money Laundering (AML) solutions to monitor suspicious activities, ensure regulatory compliance, and help financial institutions mitigate risks. The role involves working with clients and internal teams to design, deploy, and manage AML solutions using SAS AML technology. Key Responsibilities: SAS AML Solution Implementation: Lead or assist in the deployment and configuration of SAS AML solutions. Customize the SAS AML platform to meet the specific regulatory and business requirements of the client. Data Integration & Analysis: Integrate data from multiple sources into the SAS AML system for analysis. Ensure the integrity and quality of data used in AML monitoring. Transaction Monitoring: Develop, implement, and fine-tune AML transaction monitoring rules. Analyze and interpret transaction data to identify potential money laundering activities. Case Management & Investigation Support: Work with the compliance team to investigate alerts and cases generated by the SAS AML system. Support the creation of detailed reports on suspicious activities for further action. Regulatory Compliance: Ensure that the SAS AML solution is configured and maintained to meet relevant regulations such as FATF, FinCEN, and local AML laws. Maintain up-to-date knowledge of regulatory requirements for anti-money laundering practices. Optimization & Fine-Tuning: Continuously monitor and optimize the SAS AML platform to improve detection accuracy and minimize false positives. Collaborate with the IT and compliance teams to ensure the system operates at peak performance. Reporting & Dashboarding: Design and implement dashboards and reports for compliance teams to easily track and manage AML risks. Training & Documentation: Provide training and support to end-users and stakeholders on SAS AML functionalities. Develop and maintain documentation related to system configurations, rules, and user guides. Collaboration: Work closely with compliance, risk management, and IT teams to ensure seamless AML operations. Engage with external vendors and stakeholders to integrate AML systems with other enterprise risk management platforms. Qualifications: Bachelors degree in Computer Science, Information Technology, Finance, or a related field. Experience with SAS AML solution implementation, configuration, and optimization. Strong understanding of anti-money laundering (AML) laws, regulations, and best practices. Hands-on experience with data integration, SAS macros, SAS Enterprise Guide, and SAS AML Case Management. Experience in transaction monitoring, rule development, and data analytics. Knowledge of regulatory compliance frameworks (FATF, FinCEN, OFAC, KYC, etc.). Strong analytical and problem-solving skills. Excellent written and verbal communication skills.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Title :- Ind & Func AI Decision Science Job location :- Gurgaon, Bangalore, Pune & Mumbai About S&C - Global Network :- Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role The ideal candidate shall, Lead the team to deliver value to client by designing, developing, validating, monitoring, and deploying advanced Financial Crime models for different client problems. Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Have strong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders. Influence & inspire the team with the technical expertise on Financial Crime solutions and the soft skills required for stakeholder management, setting the correct expectations. Provide thought leadership, best practices, and standards on advanced Financial Crime analytics. Qualifications Who are we looking for? Have Masters degree in mathematics, statistics, economics, or related field or MBA from top-tier universities with a strong record of achievement, solid analytical ability, team leading capabilities and an entrepreneurial hands-on approach to work. Overall 10+ years of experience Analytics & at least 6+ years of relevant Financial Crime Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Anti Money Laundering, Financial Crime, Transaction Monitoring, Customer KYC/CDD, Customer screening, etc. Proven work experience in Financial Crime solutions and leading a team. Advanced skills in development, validation and monitoring of AML analytics models, strategies, visualizations. Understanding of evolving methodologies/ tools/ technologies in the Financial Crime management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies. Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as Fenergo, NICE Actimize, SAS AML, Quantexa, Ripjar, etc. Key Responsibilities: Engagement Execution: Lead a team in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of financial crime analytics/management solutions for Accentures clients. Advise clients on a wide range of Financial Crime Management/ Analytics initiatives. Projects may involve Financial Crime Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable. Practice Enablement: Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Financial Crime Analytics and Management. Travel:Willingness to travel up to 40% of the time.

Entity :- Accenture Strategy & Consulting Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. Qualifications What you would do in this role Engagement Execution Lead client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accentures clients. Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Mentor, groom and counsel analysts and consultants. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Travel:Willingness to travel up to 40% of the time Professional Development Skills:Project Dependent Who we are looking for? 7+ years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Banking Fraud, Payment Fraud, Credit Card Fraud, Retail Fraud, Anti Money Laundering, Financial Crime, Telecom Fraud, Energy Fraud, Insurance Claims Fraud etc. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Proven experience in one of data engineering, data governance, data science roles Experience in Generative AI or Central / Supervisory banking is a plus. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects

The ideal candidate will have a strong background in AML compliance, Transaction Monitoring, Sanctions screening, and/or Financial Crime Prevention, particularly in delivering Technology/Systems Implementation, AML technology enhancements, Model Validation, Data Validations, Rules/Parameter Tuning, Coverage Assessment, and/or Transaction Monitoring Lookback Analysis. Preferred technical skills include proficiency in data analytics, SQL, SSIS, Python, AI/ML models, statistical methods for tuning, and a thorough understanding of US AML and Sanctions regulations. Additionally, the candidate should have experience in client management, large team leadership, relationship management, and delivering tech/analytics projects . Technical experience with prominent AML platforms/solutions (e.g., Actimize, Oracle FCCM, SAS AML, Fircosoft, Quantexa, Fenergo) and knowledge of banking data (e.g., SWIFT, ISO 20022, ACH) is preferred. Key Responsibilities: Transaction Monitoring Implementation: Lead the design, development, and implementation of transaction monitoring systems. Ensure that monitoring systems are effectively identifying suspicious activities and are compliant with regulatory requirements. Collaborate with IT and data teams to integrate transaction monitoring solutions with existing systems. Transaction Monitoring Model Validation: Conduct comprehensive validation of transaction monitoring models to ensure accuracy and effectiveness. Develop and execute testing plans to assess model performance and identify areas for improvement. Document validation processes and findings, providing recommendations for model enhancements. Transaction Monitoring Lookback Analysis: Conduct lookback analyses to review historical transaction data for potential missed suspicious activities. Develop and customize rules in SQL to enhance transaction monitoring capabilities. Tune thresholds using statistical methods to optimize the detection of suspicious activities while minimizing false positives. Document lookback analysis processes, findings, and recommendations. Client Management: Serve as the primary point of contact for clients. Develop and maintain strong client relationships, ensuring client satisfaction and addressing any concerns. Provide regular updates and reports to clients on transaction monitoring activities and outcomes. Team Leadership: Manage and mentor a team of AML analysts. Set performance goals, conduct regular evaluations, and provide feedback and development opportunities. Foster a collaborative and high-performance team environment. Regulatory Compliance: Stay current with US AML regulations and ensure transaction monitoring practices are compliant. Provide guidance and training to team members on regulatory requirements and best practices. Participate in regulatory examinations and audits, providing necessary documentation and responses. Qualifications: Bachelor's degree in Computer Science, or a related field. Minimum 8 years of experience in data analytics. Minimum of 5 years of experience in AML compliance, with a focus on transaction monitoring and sanctions screening. Strong knowledge of US AML regulations. Experience with AML transaction monitoring software (e.g., Actimize, Oracle FCCM, Fircosoft, SAS AML). Proficiency in SQL, SSIS, and Python for data extraction, transformation, and data analysis. Extensive experience with data analytics tools and techniques. Excellent analytical, problem-solving, and decision-making skills. Strong project management skills with the ability to lead cross-functional teams. Excellent communication and interpersonal skills. Relevant certifications such as CAMS (Certified Anti-Money Laundering Specialist) are a plus. Preferred Skills: Familiarity with machine learning and artificial intelligence applications in transaction monitoring.

Entity :- Accenture Strategy & Consulting Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. Qualifications What you would do in this role Engagement Execution Lead client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accentures clients. Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Mentor, groom and counsel analysts and consultants. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Travel:Willingness to travel up to 40% of the time Professional Development Skills:Project Dependent Who we are looking for? 7+ years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Banking Fraud, Payment Fraud, Credit Card Fraud, Retail Fraud, Anti Money Laundering, Financial Crime, Telecom Fraud, Energy Fraud, Insurance Claims Fraud etc. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Proven experience in one of data engineering, data governance, data science roles Experience in Generative AI or Central / Supervisory banking is a plus. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Title :- Ind & Func AI Decision Science Job location :- Gurgaon, Bangalore, Pune & Mumbai About S&C - Global Network :- Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role The ideal candidate shall, Lead the team to deliver value to client by designing, developing, validating, monitoring, and deploying advanced Financial Crime models for different client problems. Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Have strong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders. Influence & inspire the team with the technical expertise on Financial Crime solutions and the soft skills required for stakeholder management, setting the correct expectations. Provide thought leadership, best practices, and standards on advanced Financial Crime analytics. Qualifications Who are we looking for? Have Masters degree in mathematics, statistics, economics, or related field or MBA from top-tier universities with a strong record of achievement, solid analytical ability, team leading capabilities and an entrepreneurial hands-on approach to work. Overall 10+ years of experience Analytics & at least 6+ years of relevant Financial Crime Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Anti Money Laundering, Financial Crime, Transaction Monitoring, Customer KYC/CDD, Customer screening, etc. Proven work experience in Financial Crime solutions and leading a team. Advanced skills in development, validation and monitoring of AML analytics models, strategies, visualizations. Understanding of evolving methodologies/ tools/ technologies in the Financial Crime management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies. Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as Fenergo, NICE Actimize, SAS AML, Quantexa, Ripjar, etc. Key Responsibilities: Engagement Execution: Lead a team in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of financial crime analytics/management solutions for Accentures clients. Advise clients on a wide range of Financial Crime Management/ Analytics initiatives. Projects may involve Financial Crime Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable. Practice Enablement: Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Financial Crime Analytics and Management. Travel:Willingness to travel up to 40% of the time.