3562934-Manager

EXL; Gurugram District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

EXL Services in India is seeking an analytics professional to lead end-to-end data analysis projects within banking and financial services. You will work with large data sets, ensure data quality, and implement ML models such as logistic regression, random forest, and XGBoost, transforming complex findings into actionable insights for clients.

The role requires 4–6 years of analytics delivery experience and a Master’s or Bachelor’s in a related field.

Qualifications

• 4-6 years of consulting/analytics delivery experience.
• Banking/Financial Services domain experience preferred.
• Strong analytical and communication skills.

Responsibilities

• End-to-end delivery of analysis and data-driven insights.
• Work with large data sources and ensure data quality; collaborate with client IT teams to resolve issues.
• Apply ML algorithms (Logistic Regression, Random Forest, XGBoost) and present findings.
• Translate technical results into concise messages for client presentations.

Skills

Python

SQL

Hive

PySpark

Hadoop

Tableau

Education

Master’s or Bachelor’s degree in analytics related field

Job description

Job Description:

Job Description Role And Responsibilities

• Emphasis is on end-to-end delivery of analysis
• Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client’s data/ IT teams to resolve issues Hands on experience on Machine Learning algorithms such as Logistic Regression, Random Forest, XG Boost
• Use variety of analytical tools (Python, SQL, PySpark etc.) to carry out analysis and drive conclusions
• Reformulate highly technical information into concise, understandable terms for presentations Candidate Profile:
• Required skills: Python, SQL, Hive,PySpark, Hadoop, Tableau
• 4- 6 years of consulting, analytics delivery experience
• Experience in Banking and Financial Services domain is preferred.
• Master’s or Bachelor's degree in math, statistics, economics, computer engineering or related analytics field
• Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required
• Experience of working in financial services and risk analytics domain, a plus
• Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
• Outstanding written and verbal communication skills Job Location
• 2 days work from Office, 3 days work from home

Requirements: