Salary : 20 to 35 LPAExp: 3 to 8 yearsLocation :Noida/Gurugram/BangaloreNotice: Immediate to 30 days..!!Roles & responsibilities:3+ years exp on Python, ML and Banking model developmentInteract 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 analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems3+ 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 techniquesCollaborate with product managers, and stockholders to design and implement software solutions for science problemsUse machine learning best practices to ensure a high standard of quality for all of the team deliverablesHas experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorizationHands-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 LPAExp: 3 to 8 yearsLocation: Bangalore/Gurgaon/PuneNotice : immediate to 30 days..!!Role and Responsibilities:3+ years exp in SQL, risk analytics, strategy Building, Credit risk, Financial risk, Portfolio risk toolsInteract with the client to understand their requirements and communicate / brainstorm solutions.Strong knowledge in SQL queries & BI tools, Advance SQLContribute to how analytical approach is structured for specification of analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problemsParticipate in design of analysis and modeling approach with managers and modelersExtremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issuesUse variety of analytical tools (SQL, Python, Tableau/Power BI) for insight generation & enabling the client with data driven decision makingReformulate highly technical information into concise, understandable terms for presentation

Salary: 15 to 30 LPAExp: 3 to 8 yearsLocation : Gurgaon/Bangalore/Pune/ChennaiNotice: Immediate to 30 days..!!Key Responsibilities & Skillsets:Common Skillsets:3+ years of experience in analytics, Pyspark, Python, Spark, SQL and associated data engineering jobs.Must have experience with managing and transforming big data sets using pyspark, spark-scala, Numpy pandasExcellent communication & presentation skillsExperience in managing Python codes and collaborating with customer on model evolutionGood knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise).Superior analytical and problem solving skillsShould be able to work on a problem independently and prepare client ready deliverable with minimal or no supervisionGood communication skill for client interactionData Management Skillsets:Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferredShould have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).Strong ability to translate functional specifications / requirements to technical requirements

Salary : 20 to 35 LPAExp: 5 to 9 yearsLocation :MumbaiNotice: Immediate to 30 days..!!Roles & responsibilities:5+ years exp on Python, ML and Banking model developmentInteract 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 analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems3+ 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 techniquesCollaborate with product managers, and stockholders to design and implement software solutions for science problemsUse machine learning best practices to ensure a high standard of quality for all of the team deliverablesHas experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorizationHands-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 35 LPAExp: 2 to 6 yearsLocation :Noida/Gurugram/BangaloreNotice: Immediate to 30 days..!!Roles & responsibilities:2+ years exp on Python, ML and Banking model developmentInteract 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 analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems3+ 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 techniquesCollaborate with product managers, and stockholders to design and implement software solutions for science problemsUse machine learning best practices to ensure a high standard of quality for all of the team deliverablesHas experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorizationHands-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.

Roles and ResponsibilitiesDevelop 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 Profile2+ 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 LPAExp: 4 to 8 yearsLocation :Noida/Gurugram/BangaloreNotice: Immediate to 30 days..!!Roles & responsibilities:4+ years exp on Python, ML and Banking model developmentInteract 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 analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems3+ 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 techniquesCollaborate with product managers, and stockholders to design and implement software solutions for science problemsUse machine learning best practices to ensure a high standard of quality for all of the team deliverablesHas experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorizationHands-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.

Roles and ResponsibilitiesDevelop 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 Profile2+ 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- 15 to 30 LPAExp- 4 to 8 yearsLocation- Gurgaon/BangaloreNotice: Immediate to 30 days..!!Role & responsibilities:Strong knowledge on SQL & TableauStrong knowledge in Tableau dashboardsEmphasis is on end-to-end delivery of analysisContribute to how analytical approach is structured for specification of analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problemsParticipate in design of analysis and modelling approach with managers and modelersExtremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issuesUse variety of analytical tools (Python, SQL, Tableau, Power BI etc.) to carry out analysis and drive conclusionsReformulate highly technical information into concise, understandable terms for presentations

Job Title: Data Engineer with Scala & Spark Job Description:As a Data Engineer with Scala & Spark, you will be responsible for designing, developing, and maintaining Scala applications. You will collaborate with cross-functional teams to define, design, and ship new features, as well as maintain and improve existing codebases. Your role will also involve troubleshooting, debugging, and optimizing application performance. You should have a strong understanding of functional programming concepts and be proficient in Scala, as well as have experience with related technologies.Responsibilities:1. Design, implement, and maintain Scala applications.2. Collaborate with cross-functional teams to define and develop new features.3. Write clean, maintainable, and efficient code.4. Troubleshoot, debug, and optimize application performance.5. Contribute to the entire development lifecycle, including concept, design, build, deploy, test, release, and support.6. Stay up-to-date with the latest industry trends and technologies to ensure the application's competitiveness.7. Participate in code reviews and provide constructive feedback to team members.Skills and Qualifications:1. Bachelor's degree in Computer Science, Engineering, or a related field.2. Proven experience as a Scala Developer using Spark or similar role.3. Strong understanding of functional programming concepts.4. Proficiency in Scala programming language.Strong Analytical skills.6. Familiarity with build tools such as Maven.7. Knowledge of database systems (SQL and NoSQL) and experience with data modeling.8. Understanding of distributed computing principles.9. Familiarity with microservices architecture.10. Experience with version control systems, preferably GIT.11. Excellent problem-solving and communication skills.12. Ability to work both independently and collaboratively in a team environment.13. Knowledge of Agile development methodologies.Nice to Have:1. Experience with cloud platforms such as AWS, Azure, or GCP.2. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.3. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines.4. Experience with other programming languages such as Java or Python.

Roles and ResponsibilitiesDevelop credit risk or fraud 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 Profile2+ years of experience in Credit Risk Modelling/ Fraud Modeling or related field.Strong expertise in PD, LGD Model Development ,Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework.Proficiency in programming languages such as Python/R/SAS/SQL; strong understanding of machine learning algorithms an added advantage.

Salary: 20 to 30 LPAExp: 4 to 8 yearsLocation: Hyderabad (Hybrid)Notice: Immediate only..!!Key Skills: SQL, Advance SQL, BI tools etcRoles and ResponsibilitiesExtract, 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 Profile3-8 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: 15 to 30 LPAExp: 2 to 8 yearsLocation: GurgaonNotice: Immediate only..!!Key Skills: SQL, Advance SQL, BI tools, ETL etcRoles and ResponsibilitiesExtract, 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 Profile3-8 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 LPAExp: 5 to 9 yearsLocation : Gurgaon/Bangalore/PuneNotice: Immediate to 30 days..!!Key Responsibilities & Skillsets:Common Skillsets:5+ years of experience in analytics, Azure Databricks , Power BI, SQL and associated data engineering jobs.Must have experience with managing and transforming big data sets using Azure ETLExcellent communication & presentation skillsExperience in managing Python codes and collaborating with customer on model evolutionGood knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise).Superior analytical and problem solving skillsShould be able to work on a problem independently and prepare client ready deliverable with minimal or no supervisionGood communication skill for client interactionData Management Skillsets:Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferredShould have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).Strong ability to translate functional specifications / requirements to technical requirements

Roles and ResponsibilitiesDevelop 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 Profile2+ 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 LPAExp: 3 to 8 yearsLocation: Bangalore/Gurgaon/PuneNotice : immediate to 30 days..!!Role and Responsibilities:3+ years exp in SQL, risk analytics, strategy Building, Credit risk, Financial risk, Portfolio risk toolsInteract with the client to understand their requirements and communicate / brainstorm solutions.Strong knowledge in SQL queries & BI tools, Advance SQLContribute to how analytical approach is structured for specification of analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problemsParticipate in design of analysis and modeling approach with managers and modelersExtremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issuesUse variety of analytical tools (SQL, Python, Tableau/Power BI) for insight generation & enabling the client with data driven decision makingReformulate highly technical information into concise, understandable terms for presentation

Salary: 20 to 35 LPAExp: 4 to 8 yearsLocation: Bangalore(Hybrid)Notice: Immediate only..!!Key Skills: SQL, Advance SQL, BI tools etcRoles and ResponsibilitiesExtract, 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 Profile3-8 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: 15 to 30 LPAExp: 4 to 8 yearsLocation: Bangalore/GurgaonNotice: Immediate only..!!Key Skills: SQL, Advance SQL, BI tools, ETL etcRoles and ResponsibilitiesExtract, 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 Profile3-8 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.

Roles and ResponsibilitiesDevelop 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 Profile2+ 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 30 LPAExp: 3 to 8 yearsLocation : GurgaonNotice: Immediate to 30 days..!!Key Responsibilities & Skillsets:Common Skillsets:4+ years of experience in analytics, Azure Databricks , Power BI, SQL and associated data engineering jobs.Must have experience with managing and transforming big data sets using Azure ETLExcellent communication & presentation skillsExperience in managing Python codes and collaborating with customer on model evolutionGood knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise).Superior analytical and problem solving skillsShould be able to work on a problem independently and prepare client ready deliverable with minimal or no supervisionGood communication skill for client interactionData Management Skillsets:Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferredShould have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).Strong ability to translate functional specifications / requirements to technical requirements

Salary: 10- 30 LPAExp: 2-7 yearsLocation: Gurgaon/Pune/Bangalore/ChennaiNotice period: Immediate to 30 days..!!Key Responsibilities:2+ years hands on strong experience in Ab-Initio technology.Should have good knowledge about Ab-Initio components like Reformat, Join, Sort, Rollup, Normalize, Scan, Lookup, MFS, Ab-Initio parallelism and products like Metadata HUB, Conduct>IT, Express>IT, Control center and good to have clear understanding of concepts like Meta programming, continuous flows & PDL.Very good knowledge of Data warehouse, SQL and Unix shell scripting.Knowledge on ETL side of Cloud platforms like AWS or Azure and on Hadoop platform is also an added advantage.Experience in working with banking domain data is an added advantage.Excellent technical knowledge in Design, development & validation of complex ETL features using Ab-Initio.Excellent knowledge in integration with upstream and downstream processes and systems.Ensure compliance to technical standards, and processes.Ability to engage and collaborate with Stakeholders to deliver assigned tasks with defined quality goals.Can work independently with minimum supervision and help the development team on technical Issues.Good Communication and analytical skills.

Salary : 20 to 35 LPAExp: 3 to 10 yearsLocation :Bangalore/Pune/Gurugram (Hydrid)Notice: Immediate to 30 days..!!Roles & responsibilities:3+ years exp on Python, ML and Banking model developmentInteract with the client to understand their requirements and communicate / brainstorm solutions.Contribute to how analytical approach is structured for specification of analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems3+ years exp on ML/Python (predictive modelling)PD/LGD model developmentDesign, 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 techniquesCollaborate with product managers, and stockholders to design and implement software solutions for science problemsUse machine learning best practices to ensure a high standard of quality for all of the team deliverablesHas experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorizationText classification using any of the following : decision trees, knn classification, support vector machines or LDAExp on SQL would be a plus

Salary : 20 to 35 LPAExp: 3 to 8 yearsLocation :Noida/Gurugram/BangaloreNotice: Immediate to 30 days..!!Roles & responsibilities:3+ years exp on Python, ML and Banking model developmentInteract 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 analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems3+ 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 techniquesCollaborate with product managers, and stockholders to design and implement software solutions for science problemsUse machine learning best practices to ensure a high standard of quality for all of the team deliverablesHas experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorizationHands-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 LPAExp: 3 to 8 yearsLocation: Bangalore/Gurgaon/PuneNotice : immediate to 30 days..!!Role and Responsibilities:3+ years exp in SQL, risk analytics, strategy Building, Credit risk, Financial risk, Portfolio risk toolsInteract with the client to understand their requirements and communicate / brainstorm solutions.Strong knowledge in SQL queries & BI tools, Advance SQLContribute to how analytical approach is structured for specification of analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problemsParticipate in design of analysis and modeling approach with managers and modelersExtremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issuesUse variety of analytical tools (SQL, Python, Tableau/Power BI) for insight generation & enabling the client with data driven decision makingReformulate highly technical information into concise, understandable terms for presentation

Roles and ResponsibilitiesDevelop 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 Profile2+ 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: 3 to 5 LPAExp: 2 to 5 yearsLocation: GGN/BLR/PUNE (PAN INDIA) work from homeNotice: Immediate Joiner..!!2+years of exp into IT hiring, TA, recruitment

Salary: 8 to 12 LPAExp: 3 to 5 yearsLocation: Gurgaon/Pune/BangaloreNotice period: Immediate to 30 days..!!Required skills:3+ years exp in Automation testing, Selemiun and rest assured

Salary: 25 to 40 LPAExp: 7 to 11 yearsLocation: BangaloreNotice: Immediate only..!!Key Skills: SQL, Advance SQL, BI tools, ETL etcRoles and ResponsibilitiesExtract, 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 Profile6-10 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.

Salary: 15 to 30 LPAExp: 3 to 8 yearsLocation: Bangalore/Gurgaon/PuneNotice: Immediate only..!!Key Skills: SAS, Advance SQL, Credit RiskRoles and ResponsibilitiesExtract, 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 Profile3-8 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.