Spec Analytics Intmd Analyst - C11

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 involve working on threshold tuning for Optimization, developing Logistic Regression Model to predict customer behavior, identifying anomalies in transaction and customer behavior, outlier detection, ATL threshold tuning, segmenting customers into homogenous groups using clustering, and reviewing Logistic Regression Model performance, while maintaining flexibility to switch amongst work streams based on business needs. The SDE statistician will follow a 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 where Citi operates such as the U.S., APAC, and EMEA. Requirements for this role include a background in analysis using databases, 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. Additionally, the ability to read and create formal documentation is highly desirable. Responsibilities include applying quantitative and qualitative data analysis methods, preparing statistical and non-statistical data exploration, and performing advanced statistical analysis to support the threshold tuning or segmentation work streams. The role also involves validating data, identifying data quality issues, working with Technology to address them, analyzing and interpreting data reports, drawing conclusions, making recommendations, and answering specific business needs. Other responsibilities include automating data extraction and data preprocessing tasks, performing ad hoc data analyses, designing and maintaining complex data manipulation processes, providing consistent documentation and presentations, developing new transaction monitoring scenarios, documenting solutions and presenting results in a comprehensive way to non-technical audiences, as well as generating new ideas, concepts, and models to improve methods of obtaining and evaluating quantitative and qualitative data. Qualifications for this position include 4-6 years of experience in the Analytics Industry, previous experience with financial services companies, good knowledge in SAS, SQL, Hive, and preferably Python, strong statistics and data analytics academic background, knowledge of quantitative methods, highly-skilled in MS Excel, and VBA experience is a plus. The candidate should also have experience in reporting the results of analysis in clear written form and presenting the findings during meetings and conference calls. Education requirements include a Masters in a numerate subject such as Mathematics, Operational Research, Business Administration, Economics, etc. from a Premier Institute or a track record of performance that demonstrates this ability. Other job-related duties may be assigned as required.,