Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 10 to 16 LPA Exp: 1 to 3 years Location: Gurgaon / Bangalore/ Kolkata (Hybrid) Notice: Immediate to 30 days..!! Key Skills: GCP, Cloud, Pubsub, Data Engineer

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Gurgaon / Bangalore (Hybrid) Notice: Immediate to 30 days..!! Key Skills: GCP, Cloud, Pubsub, Data Engineer

Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 25 to 40 LPA Exp: 5 to 8 years Location :Mumbai Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 25 to 40 LPA Exp: 7 to 11 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary: 8 to 24 LPA Exp: 3 to 7 years Location: Gurgaon (Hybrid) Notice: Immediate to 30 days..!! Job Title: Senior Data Engineer Job Summary: We are looking for an experienced Senior Data Engineer with 5+ years of hands-on experience in cloud data engineering platforms, specifically AWS, Databricks, and Azure. The ideal candidate will play a critical role in designing, building, and maintaining scalable data pipelines and infrastructure to support our analytics and business intelligence initiatives. Key Responsibilities: Design, develop, and optimize scalable data pipelines using AWS services (e.g., S3, Glue, Redshift, Lambda). Build and maintain ETL/ELT workflows leveraging Databricks and Apache Spark for processing large datasets. Work extensively with Azure data services such as Azure Data Lake, Azure Synapse, Azure Data Factory, and Azure Databricks. Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions. Ensure data quality, reliability, and security across multiple cloud platforms. Monitor and troubleshoot data pipelines, implement performance tuning, and optimize resource usage. Implement best practices for data governance, metadata management, and documentation. Stay current with emerging cloud data technologies and industry trends to recommend improvements. Required Qualifications: 5+ years of experience in data engineering with strong expertise in AWS , Databricks , and Azure cloud platforms. Hands-on experience with big data processing frameworks, particularly Apache Spark. Proficient in building complex ETL/ELT pipelines and managing data workflows. Strong programming skills in Python, Scala, or Java. Experience working with structured and unstructured data in cloud storage solutions. Knowledge of SQL and experience with relational and NoSQL databases. Familiarity with CI/CD pipelines and DevOps practices in cloud environments. Strong analytical and problem-solving skills with an ability to work independently and in teams. Preferred Skills: Experience with containerization and orchestration tools (Docker, Kubernetes). Familiarity with machine learning pipelines and tools. Knowledge of data modeling, data warehousing, and analytics architecture.

Salary: 8 to 24 LPA Exp: 3 to 7 years Location: Gurgaon (Hybrid) Notice: Immediate to 30 days..!! Job Profile: Experienced Data Engineer with a strong foundation in designing, building, and maintaining scalable data pipelines and architectures. Skilled in transforming raw data into clean, structured formats for analytics and business intelligence. Proficient in modern data tools and technologies such as SQL, T-SQL, Python, Databricks, and cloud platforms (Azure). Adept at data wrangling, modeling, ETL/ELT development, and ensuring data quality, integrity, and security. Collaborative team player with a track record of enabling data-driven decision-making across business units. As a Data engineer, Candidate will work on the assignments for one of our Utilities clients. Collaborating with cross-functional teams and stakeholders involves gathering data requirements, aligning business goals, and translating them into scalable data solutions. The role includes working closely with data analysts, scientists, and business users to understand needs, designing robust data pipelines, and ensuring data is accessible, reliable, and well-documented. Regular communication, iterative feedback, and joint problem-solving are key to delivering high-impact, data-driven outcomes that support organizational objectives. This position requires a proven track record of transforming processes, driving customer value, cost savings with experience in running end-to-end analytics for large-scale organizations. Design, build, and maintain scalable data pipelines to support analytics, reporting, and advanced modeling needs. Collaborate with consultants, analysts, and clients to understand data requirements and translate them into effective data solutions. Ensure data accuracy, quality, and integrity through validation, cleansing, and transformation processes. Develop and optimize data models, ETL workflows, and database architectures across cloud and on-premises environments. Support data-driven decision-making by delivering reliable, well-structured datasets and enabling self-service analytics. Provides seamless integration with cloud platforms (Azure), making it easy to build and deploy end-to-end data pipelines in the cloud Scalable clusters for handling large datasets and complex computations in Databricks, optimizing performance and cost management. Must to have Client Engagement Experience and collaboration with cross-functional teams Data Engineering background in Databricks Capable of working effectively as an individual contributor or in collaborative team environments Effective communication and thought leadership with proven record. Candidate Profile: Bachelors/masters degree in economics, mathematics, computer science/engineering, operations research or related analytics areas 3+ years’ experience must be in Data engineering. Hands on experience on SQL, Python, Databricks, cloud Platform like Azure etc. Prior experience in managing and delivering end to end projects Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary: 25 to 40 LPA Exp: 7 to 11 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SAS, Credit Risk, risk analytics, MIS, risk reporting Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SAS, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 5 to 8 years Location: Gurgaon (Hybrid) Notice: Immediate to 30 days..!! Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale data pipelines using GCP services such as BigQuery, Data Flow, PubSub, Dataproc, and Cloud Storage. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop complex SQL queries to extract insights from large datasets stored in Google Cloud SQL databases. Troubleshoot issues related to data processing workflows and provide timely resolutions. Desired Candidate Profile 5-9 years of experience in Data Engineering with expertise GCP & Biq query data engineering. Strong understanding of GCP Cloud Platform Administration including Compute Engine (Dataproc), Kubernetes Engine (K8s), Cloud Storage, Cloud SQL etc. . Experience working on big data analytics projects involving ETL processes using tools like Airflow or similar technologies.

Salary: 20 to 35 LPA Exp: 3 to 10 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: Credit Risk /Fraud Risk Strategy: Role Details: The role is expected to use analytical tools to identify opportunities to grow overall assets as well as manage risk. It involves managing risk management framework across customer lifecycle acquisition, portfolio management and collections, across retail lending products. Responsibilities : - Design, analyze, monitor credit risk strategies for different loan products such as personal loans, auto loans, etc. - Identify the opportunity areas for portfolio growth and pro-actively communicate with stakeholders - Collaborate across other risk functions (example technology, product, etc.) to implement the analytical decisions - Understand existing underwriting rules, strategies and replicate them in business rules using SAS/SQL - Design and analyze income, employment, fraud verification strategies - Develop, maintain and improve risk policies, strategies, processes and procedures within the assigned function - Utilize application, bank and bureau information to derive business insights - KPI generation, tracking of risk and delinquency metrics for portfolios using SQL/Tableau