Data Scientist - BFSI

Role Outline/Job Summary

- The role of Data Engineer is part of Global Decision Management (GDM), 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: Segmentation, Entity Linkages, Pattern Mining and Anomaly Detection and data modeling/validation efforts depending on current needs and project plans

- A primary area of focus for this position will be working on Data Manipulation and Pattern recognition, and some aspects of Segmentation modeling, while maintaining the flexibility to switch amongst work streams based on business needs

Job Description

- Position Title: Data Scientist

- Location: Bangalore

- Function/Group: Data Sciences

Role and Responsibilities:

Business/Department/Objectives:

- The scope of work includes all aspects of analysis performed by the team within different projects: Segmentation, Entity Linkages, Pattern Mining and Anomaly Detection and data modeling/validation efforts depending on current needs and project plans

- Requirements include a background in an analysis using data bases, warehouses, data processing; experience with statistics and data mining with a strong background on Programming in R/Python and Big Data Technologies. Experience and knowledge in banking and finance especially in the AML/Fraud area will be a plus

Core Responsibilities:

- Conduct data-driven analysis. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration and advanced statistical analysis to support the pattern mining or entity linkages for Sales Malpractices or Fraud

- 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

- Document solutions and present results in a simple comprehensive way to the 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

- Maintain an industry leading knowledge of the tools, systems and processes available for best in class Fraud or Anomaly Detection

Key Deliverables:

- Plan, Design, Build Frame works for Identifying Fraudulent or Unfair Sales Practices across Regions

- Reusable utilities to build programs for new markets or functions in a very short time

Education:

Required

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

Experience:

Required

- 8+ years including 3 years in Big Data Environment

Skills Required:

Expertise Required :

- Big Data - HIVE/PIG, Java and Spark/Scala

- Programming - R, Python, SAS, Unix, SQL

- Databases: Oracle, Dbase, MongoDB

- Exposure to Machine Learning Algorithms, Pattern Mining/Detection

- 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

Preferred

Banking products Fraud/AML areas is a plus