Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. The Data Science & Model Management (DSMM) lead (Vice President) will be a part of AIM, based in Bangalore and reporting into the SVP leading the team.
Lead a team of statisticians and quantitative experts that are responsible for: AML Scenario Development, Threshold tuning of AML scenarios, Segmentation, Python migrations, Random Client Analysis, preparing ongoing metrics and providing insight based on them. Must drive quality, reliability, and usability of all work products. Evaluate and refine the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy. Ensure proper documentation of all project work and respond to Internal Audit, Compliance Testing and Regulator’s questions.
Innovate and generate new ideas, concepts, and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions and status quo. Escalate identified risks and sensitive areas in terms of methodology and processes. Think outside the box and look for new methods to constantly improve the effectiveness and efficiency of the AML Detection, Monitoring and Operations systems and processes used in Citi. Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring.
The DSMM Team Lead will follow the globally consistent methodology but is expected to have a high level of initiative and creativity and suggest enhancements to the current methodologies. The role requires working closely with business partners based in other geographies that Citi operates in (e.g., U.S., APAC, EMEA). The role will lead up to a team of 10 – 12 analysts / senior analysts and deliver on the business objectives.
Responsibilities:
• The scope of work includes all aspects of analysis performed by the team within different projects: Segmentation & Clustering development and review, AML Scenario development and enhancement, Threshold Tuning, Outlier analysis, Initial Thresholds setting, Case Risk scoring model development and model performance review, Tactical Tuning tasks depending on current needs and project plans.
• Strengthen AML knowledge, Process Governance & Controls. Support Regulatory exams, Internal Audit, Compliance Assurance test, Self-identified issues / findings. Identify, assess, actively manage, and control the risks that could come from our business, operational and organizational decisions.
• Generate new ideas, concepts, and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions. Escalate identified risks and sensitive areas in terms of methodology and processes.
• Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring Operations.
• Analytic Project Execution: Build effective teams to deliver on business priorities. Decompose business priorities into candidate projects. Consult with partners to initiate project aligned to business needs. Manage the project pipeline to ensure prioritization and resourcing. Influence analytic approaches through learnings and insights.
• Talent Management: Manage career progression for the team. Influence organizational policies on Talent management. Effective Performance Management as per goals and Leadership principles
• Teamwork: Manage initiative across the AIM. Establish a structured interaction model with the partners.
• Should have prior team management experience.
Qualifications:
• 12+ years of experience in Financial Services / Analytics Industry
• Prior experience in AML, Mantas, or any other AML Transaction Monitoring systems.
• Prior experience in AML analytics – AML Scenarios development, Threshold tuning, Segmentation, Clustering, Customer Risk scoring model development, Random Client Analysis
• Strong Statistical modelling, Data Analytics, analytical aptitude, and logical reasoning ability
• Knowledge of SAS, SQL, Python, EAP, and complex data sources
• Prior experience in supporting audits and reviews.
• Ability to effectively present and communicate, both orally and in writing, through all levels of the organization.
• Self-motivated with the ability and maturity to make decisions in the absence of detailed instructions,
• Methodical analysis and problem-solving skills.
• Able to coordinate and deal with various level and conflicting time demands.
• Understanding of technical requirements, ability to communicate with Technical Support
• Strong process & project management skill including identification and escalation of risks.
• Strong people management skills.
• Ability to work on compiling priorities and effectively multi-task.
• Initiative, creativity, and attention to detail are essential.
• Self-motivated with high desire of self-development and learning.
• Master’s degree in statistics / mathematics / technical science
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