Job Location: Bangalore
About Citi AIM
Citi AIM 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) Scenario Development & Enhancement (SDE) Statistician is part of Strategic Business Solutions group of AIM, based in Bangalore and reporting into the AVP/VP leading the team.
The scope of work includes all aspects of analysis performed by the team within different projects: Threshold Tuning, Segmentation and data modeling/validation efforts depending on current needs and project plans. A primary area of focus for this position will be working on threshold tuning for Optimization, developing Logistic Regression Model to predict customer behaviour,identifying anomalies in transaction and Customer behaviour,Outlier detection,ATL threshold tuning, Segment customers into homogenous groups using clustering,Logistic Regression Model performance Review etc. while maintaining the flexibility to switch amongst work streams based on business needs.
The SDE statistician 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, and EMEA).
Requirements include a background in analysis using data bases, warehouses, data processing; experience with statistics and data mining. Experience and knowledge in banking and finance especially in the AML area will be a plus. In addition, the ability to read and create formal documentation is highly desirable.
Job Description
POSITION TITLE:
Officer
Grade/Level:
C11
BUSINESS GROUP:
CSIPL-AIM
FUNCTION/GROUP:
AML
DEPARTMENT:
AIM
LOCATION:
Bangalore
ROLE & RESPONSIBILITIES:
- A primary area of focus for this position will be working on threshold tuning for Optimization, developing Logistic Regression Model to predict customer behaviour,identifying anomalies in transaction and Customer behaviour,Outlier detection,ATL threshold tuning, Segment customers into homogenous groups using clustering,Logistic Regression Model performance Review etc. while maintaining the flexibility to switch amongst work streams based on business needs. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration and advanced statistical analysis to support the threshold tuning or segmentation work streams.
- Validate data, identify data quality issues (if any), and work with Technology to address them. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs.
- Automate data extraction and data preprocessing tasks. Perform ad hoc data analyses. Design and maintain complex data manipulation processes. Provide consistent documentation and presentations.
- Develop new transaction monitoring scenarios based on emerging Financial Crime Risk
- Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary.
- 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.
- Key delevarables:The scope of work includes all aspects of analysis performed by the team within different projects: Threshold Tuning, Segmentation, Tactical Tuning tasks, and data modeling/validation efforts depending on current needs and project plans. A primary area of focus for this position will be working on threshold tuning for Optimization, developing Logistic Regression Model to predict customer behaviour,identifying anomalies in transaction and Customer behaviour,Outlier detection,ATL threshold tuning, Segment customers into homogenous groups using clustering,Logistic Regression Model performance Review etc. while maintaining the flexibility to switch amongst work streams based on business needs
Qualifications:
- 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 Summary:
- 4-8 Yrs. Experience in Analytics Industry
- Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking)
- Experience in threshold tuning for Optimization, developing Logistic Regression Model to predict customer behaviour,identifying anomalies in transaction and Customer behaviour,Outlier detection,ATL threshold tuning, Segment customers into homogenous groups using clustering,Logistic Regression Model performance Review etc. while maintaining the flexibility to switch amongst work streams based on business needs
- Good Knowledge in SAS,SQL,Hive.Knowledge in Python is preferred but not mandatory
- Mantas and AML monitoring systems experience or other transaction monitoring systems a plus (Preferred but not mandatory)
- Knowledge of the local/regional laws and regulations applicable to anti-money laundering (Preferred but not mandatory)
- Certification in any programming languages like SAS, Python etc. is plus (Preferred but not mandatory)
Skills:
- Strong statistics and data analytics academic background and knowledge of quantitative methods
- Good knowledge of SAS, SQL, Hive, (Knowledge of Python is a plus)
- Highly-skilled and good knowledge of MS Excel .VBA experience is a plus
- 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 independently with minimal 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
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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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Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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