Python & SQL Business Analytics Analyst

Citi; Bengaluru; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Citi AIM is seeking an AML DSMM analyst in Bengaluru to join a global team that analyzes information for actionable intelligence. You will work on threshold tuning, segmentation, and predictive modeling, collaborating across geographies to enhance financial crime controls.

Requirements include a background in data analysis, statistics, and experience with Python, SQL, and Hive. Excellent communication and documentation skills are essential for cross-functional delivery.

Qualifications

• Masters in Mathematics, Operational Research, Economics or related field.
• Experience in financial services or analytics is preferred.
• Strong knowledge of Python, SQL and Hive for data analysis.
• Experience with statistics and data mining techniques.
• Ability to read and create formal documentation.

Responsibilities

• Threshold tuning for Optimization and segmentation tasks.
• Develop Logistic Regression models to predict customer behavior.
• Identify anomalies in transactions and customer behavior; outlier detection.
• Automate data extraction, preprocessing and data validation tasks.
• Document solutions and present results to non-technical audiences.

Skills

Statistics

Data analysis

Communication

Education

Masters in Mathematics

Tools

Python

SQL

Hive

Job description

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 Anti Money Laundering (AML) Data Science & Model Management (DSMM) analyst will be a part of AIM, based in Bangalore and reporting into the 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 behavior, identifying anomalies in transaction and Customer behavior, Outlier detection, ATL threshold tuning, Segment customers into homogenous groups using clustering, Logistic Regression Model Performance Review while maintaining flexibility to switch amongst work streams based on business needs.

The DSMM 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., NAM, APAC, and LATAM).

Requirements 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. In addition, the ability to read and create formal documentation is highly desirable.

Responsibilities

• A primary area of focus for this position will be 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, 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 adhoc data analysis. 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.

Qualifications

• 2-4 years of experience in Financial Services / Analytics Industry
• 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.
• 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 behavior, identifying anomalies in transaction and Customer behavior, Outlier detection, ATL threshold tuning, Segment customers into homogenous groups using clustering, Logistic Regression Model Performance Review while maintaining the flexibility to switch amongst work streams based on business needs
• Good Knowledge in Python, SQL, Hive
• Experience in prompt Engineering & Generative AI.
• Strong statistics and data analytics academic background and knowledge of quantitative methods
• 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 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 of the scope of responsibilities.
• Provide input into the innovation of new and enhanced approaches. Having initiative and a proactive attitude is desirable

Job Family Group

Decision Management

Job Family

Business Analysis

Time Type

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

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

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