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 and 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, 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, LATAM). The role will lead a team of 8 – 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.
• Communication and Influence, communicate findings and recommendations to senior management. Stay current with the latest trends and technologies in analytics. Ensure compliance with policies and regulatory requirements
• 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

Qualifications:

• 12+ years of experience in Financial Services / Analytics Industry
• Prior experience in AML, Mantas or any other AML Transaction Monitoring systems is mandatory
• 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
• Strong understanding of current state of the art ML/DL/Gen AI algorithms
• Knowledge of SQL, Python, EAP and complex data sources
• Excellent verbal and written communication skills. Communicates seamlessly across team members / stakeholders / cross-functional teams.
• 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 levels and conflicting time demands
• Understanding technical requirements, ability to communicate with Technical Support
• Strong process / project management skill including identification and escalation of risks
• 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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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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