Citi GDM - SBS - AML in Bengaluru, India

  • Primary Location: India,Karnataka,Bangalore

  • Education: Master's Degree

  • Job Function: Decision Management

  • Schedule: Full-time

  • Shift: Day Job

  • Employee Status: Regular

  • Travel Time: Yes, 75 % of the Time

  • Job ID: 17035241

Description

About Citi Global Decision Management

Citi Global Decision Management team is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact based opportunities for revenue growth and expense reduction in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best-in-class and relevant analytic methodologies. To accomplish this, the group focuses on linkages of information, tools and analytics.

Role Outline/Job Summary

The role of Anti Money Laundering (AML) Independent Validation (IV) Statistician is part of Strategic Business Solutions group of Global Decision Management (GDM), based in Bangalore and reporting into the AVP/VP leading the team.

The Statistician will have responsibility to conduct independent validation on anti-money laundering (AML) models, statistical analyses and optimization of the transaction monitoring system. The Statistician will execute model validation, complex statistical analysis, data visualizations, data processing based on the globally consistent standard, procedures and templates which incorporate, regulatory guidelines (OCC 2011-12), the Bank’s Model Risk Management Policy and framework and industry leading practices. The successful candidate is expected to execute with a high level of integrity, quality and attention to detail in both the work performed and its documentation, and present findings in a clear, understandable manner both in writing and verbally.

Requirements include a background in statistics and/or mathematics, preferably also experience with data analysis and/or data mining. Fluency in English and very good oral and written communication skills are necessary as is the ability to read and create formal statistical documentation. Experience and knowledge in banking, finance and/or AML will be desirable.

Job Description:

  • Position Title: Senior Analyst (Asst. Manager)

  • Grade/Level: C11

  • Business Group: CSIPL-GDM

  • Function/Group: GDM

  • Department: GDM

  • Location: Bangalore

Role and Responsibilities:

Business / Department Objectives:

Citi Global Decision Management team connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact based opportunities for revenue growth and expense reduction in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best-in-class and relevant analytic methodologies.

Core Responsibilities:

  • Perform model independent validation of complex predictive models (decision trees, linear regressions, models for binary outcome) within the agreed schedule and ensure execution follows the global methodology and is in compliance with model governance policy, guidelines and OCC requirements.

  • Apply statistical methods to organize, analyze, and interpret data to perform model validations

  • Provide data pulls and reports directly from Oracle Database. Write efficient SQL and PL-SQL queries in complex Very Large Scale database environment. Monitor time and capacity used during query execution, design efficient query execution plans.

  • Provide technical support to the team by implementing automation tools and integrating MS Office Excel, Oracle Database and SAS platforms. Design technical solutions supporting complex data reporting and analytical tasks. Generate complex graphical data reports, including data crosstabs, scatter plots and statistical measures.

  • Ensure Data Quality and Reliability. Design and implement various Data Quality methods in SAS and Oracle database. Run quality checks against database and report all data issues. Detect data anomalies and identify source of data problems. Recommend data quality solutions.

  • Build benchmark or challenger models to replicate model results, evaluate model assumption, data completeness, limitations, conceptual soundness, functional soundness, modelling methodology, outcome analysis, etc. of models being validated.

  • Prepare model validation reports in a detailed, structured and clear manner, describing the outcomes of the analysis performed and include a conclusion based on the validation.

  • Use visualization techniques to display data and the results of analysis in clear straightforward presentations that can be understood by non-technical readers.

  • Conduct annual model performance assessments to ensure existing models are working as intended and meet the criteria and /or make model improvement recommendations.

  • Distribute validation reports and consult with model and business owners and other stakeholders such as senior management, on model validation results.

Financial / Budgetary: No

Individual Contributor (IC)/Managerial: IC

Key Deliverables:

The Statistician will have responsibility to conduct independent validation on anti-money laundering (AML) models, statistical analyses and optimization of the transaction monitoring system. The Statistician will execute model validation, complex statistical analysis, data visualizations, data processing based on the globally consistent standard, procedures and templates which incorporate, regulatory guidelines (OCC 2011-12), the Bank’s Model Risk Management Policy and framework and industry leading practices.

Percentage of Travel: Yes, up to 75% of the time (should be open to travel outside India)

Relocation: Yes

Qualifications

Education:

  • Masters in a numerate subject such as Mathematics, Operational Research, Business Administration, Economics etc. from Premier Institute or a track record of performance that demonstrates this ability.

Experience:

  • 5-8 years experience in Analytics Industry

(Preferred)

  • Experience with statistical modelling

  • Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking)

  • Mantas and AML monitoring systems experience or other transaction monitoring systems a plus

  • Knowledge of the local/regional laws and regulations applicable to anti-money laundering

Certifications:

  • Certification in SAS and/ or R (Preferred)

Skills:

  • Strong statistics and data analytics academic background and knowledge of quantitative methods

  • Good knowledge of SAS, SQL, Hive, and/or other data processing languages (Knowledge of R is a plus)

  • Highly-skilled and good knowledge of MS Excel and VBA experience

  • Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls

  • Team working experience (demonstrated team player ability required)

  • Understanding of technical requirements, ability to communicate with Technical Support

  • Very good written and verbal communication ability in an educational style. Ability to express thoughts and concepts clearly.

  • Ability to work well with a variety of people and to show team-player attitude regardless the scope of responsibilities.

  • Provide input into the innovation of new and enhanced approaches. Having initiative and a proactive attitude is desirable.

Other:

  • Must have: Statistical/data analytical skills - including both calculation and interpretation of outcome

  • Methodical analysis and problem-solving skills

  • Initiative, creativity and attention to detail are essential

  • Ability to work under close supervision of senior team member, while preserving independence of thinking and responsibility for the results.

  • Ability to discuss reasoning, critical assessment of facts and opinions; ability of giving comprehensive answers and arguments

  • Conceptual and creative thinking (outside the box)

  • Demonstrated ability to communicate effectively, both orally and in writing, through all levels of the organization and through different business units

  • Self-motivated with high desire of self-development and learning

  • Must be able to coordinate and deal with conflicting time demands