32 Banking Analytics Jobs

We are seeking an analytical professional for the Banking Analytics role. You will be responsible for leveraging your expertise in SQL and Python, coupled with strong banking exposure, to understand client requirements and develop impactful solutions. This role requires a good understanding of banking scorecards and products, with a preference for experience in model development and strategy. Roles & Responsibility: Possess strong proficiency in SQL & Python . Demonstrate significant Banking Exposure . Exhibit a good understanding of banking scorecards and products , including application, behavioral, and fraud aspects. Experience in model development and strategy is preferred. Should be able to understand client requirements thoroughly and come up with effective solutions, such as developing models and devising strategies. Possess superior verbal and written communications skills with extreme attention-to-detail, enabling clear communication of complex analytical insights. Skills Required: Proficient in SQL . Proficient in Python . Strong analytical and problem-solving skills. Ability to translate business requirements into analytical solutions. Excellent communication skills (verbal and written). Detail-oriented approach to data analysis and reporting. QUALIFICATION: Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.

Salary: 30 to 45 LPA Exp: 8 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.

Salary: 20 to 35 LPA Exp: 5 to 10 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.

As a Senior Analytics Consultant specializing in banking analytics, you will leverage your expertise in credit risk modeling, fraud detection, and marketing analytics to lead client-facing engagements. With over 5 years of experience in the banking sector, you will be responsible for designing and implementing advanced models, translating data insights into strategic recommendations, and ensuring compliance with regulatory standards. Your key responsibilities will include leading and managing analytics projects focused on credit risk, fraud analytics, or marketing analytics within the banking industry. You will collaborate with clients to define business problems, develop analytic frameworks, and deliver actionable solutions. Using your proficiency in analytical programming languages such as Python, R, or SAS, you will build and validate statistical and machine learning models to extract meaningful insights from large datasets. In addition to your technical skills, you will be expected to communicate complex analytical findings effectively through business-friendly presentations and reports. As a senior member of the team, you will also guide junior team members, contribute to knowledge sharing within the firm, and uphold a strong understanding of the banking regulatory environment, including standards like Basel II/III, CCAR, and AML. To qualify for this role, you should hold a Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or a related quantitative discipline. You must have a minimum of 5 years of hands-on experience in banking analytics, strong proficiency in SQL, and a solid understanding of statistical modeling techniques and machine learning algorithms. Prior experience in a consulting or professional services environment, familiarity with cloud-based analytics platforms, and exposure to digital banking data sources are preferred qualifications. In return, you can expect high-impact projects with top banking institutions, a collaborative team culture that values intellectual curiosity, clear paths for career growth and leadership opportunities, and competitive compensation. Join us in shaping the future of banking analytics and making a significant impact in the industry.,

As a Senior Analytics Consultant in the banking sector, you will leverage your expertise in areas such as credit risk modeling, fraud detection, and marketing analytics to lead client-facing engagements. With over 5 years of experience, you will play a key role in designing and implementing advanced models, translating data insights into strategic recommendations, and ensuring compliance with regulatory standards. Your responsibilities will include leading and managing analytics projects focusing on credit risk, fraud analytics, and marketing analytics for banking clients. You will collaborate with clients to define business problems, develop analytic frameworks, build and validate statistical and machine learning models, and present complex analytical findings in a clear and business-friendly manner. Additionally, you will guide junior team members, contribute to knowledge sharing, and uphold regulatory standards in risk and fraud modeling. To excel in this role, you are required to have a Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or a related quantitative discipline. Your hands-on experience in banking analytics, proficiency in SQL and analytical programming languages such as Python, R, or SAS, strong understanding of statistical modeling techniques, and excellent communication skills will be essential. Preferred qualifications include prior consulting experience, familiarity with cloud-based analytics platforms, and exposure to regulatory model validation frameworks. Join us for high-impact projects with top banking institutions, a collaborative team culture, clear paths for career growth, and competitive compensation.,

Exp: 8 to 15 years Location: Gurgaon/Bengalore Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc. Role and Responsibilities: - Primary day-to-day client contacts and often interact with C-level executives. - Is primary client day-to-day contact & ensures client needs are well understood, defined & met - Serves as the primary interface between senior client management and senior leadership (VPs and SVPs) - Interacts regularly with clients to understand business requirements, define analytical problems, structure and communicate solutions and ensure client satisfaction with strong business driving results - Manages / leads 1-2 engagement/ projects with different team structures and service delivery models. Responsible for driving revenue generating from these accounts - Leads project teams of 3-6 consultants or more, and/ or Team Lead and Analysts in all aspects of project execution - Plays critical role in defining the problem, structuring the solution, and executing against it - Clearly defines project deliverables, timelines and methodology laying out the project plan - Owns the execution of the project, with on time delivery every time, ensuring all project goals are met - Manages team members, including definition of objectives, oversight of execution and evaluation of performance - Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients' success - Candidate Profile: - 7+ years of experience comprising analytics service delivery, consulting, solution design and client management - Experience and strong knowledge of the analytics service industry with focus on B2C & Omni-channel retail across customer lifecycle and customer journey - Demonstrable leadership ability, superior problem solving and people management skills - Excellent listening, written communication and presentation skills - Experience / exposure to marketing, operations, sales, merchandizing and supply chain, retail strategy, project management, cost reduction, and business development for Retail and Media organizations - Master's degree in management, data science, economics, mathematics, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

Exp: 8 to 15 years Location: Gurgaon/Bengalore Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc. Role and Responsibilities: - Primary day-to-day client contacts and often interact with C-level executives. - Is primary client day-to-day contact & ensures client needs are well understood, defined & met - Serves as the primary interface between senior client management and senior leadership (VPs and SVPs) - Interacts regularly with clients to understand business requirements, define analytical problems, structure and communicate solutions and ensure client satisfaction with strong business driving results - Manages / leads 1-2 engagement/ projects with different team structures and service delivery models. Responsible for driving revenue generating from these accounts - Leads project teams of 3-6 consultants or more, and/ or Team Lead and Analysts in all aspects of project execution - Plays critical role in defining the problem, structuring the solution, and executing against it - Clearly defines project deliverables, timelines and methodology laying out the project plan - Owns the execution of the project, with on time delivery every time, ensuring all project goals are met - Manages team members, including definition of objectives, oversight of execution and evaluation of performance - Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients' success - Candidate Profile: - 7+ years of experience comprising analytics service delivery, consulting, solution design and client management - Experience and strong knowledge of the analytics service industry with focus on B2C & Omni-channel retail across customer lifecycle and customer journey - Demonstrable leadership ability, superior problem solving and people management skills - Excellent listening, written communication and presentation skills - Experience / exposure to marketing, operations, sales, merchandizing and supply chain, retail strategy, project management, cost reduction, and business development for Retail and Media organizations - Master's degree in management, data science, economics, mathematics, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

Hiring for Multiple Roles 1. SAS, SQL, Marketing Analytics 2. SAS, SQL, Credit Risk Model 3. SAS, SQL Strategy Development 4. SAS, SQLCollection Strategy 5. SAS, SQL, MRM 6. SAS, SQL, Credit Risk Model

Salary: 18 to 35 LPA Exp: 6 to 13 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 6-13 years of experience in Marketing Analytics or related field with expertise in Banking Analytics, 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.

Business Analyst - Treasury and Liquidity Reporting BA (Senior Consultant/Manager) Location - Chennai & Bangalore Description: Requires strong business analysis skills, an understanding of the SDLC, and specialized knowledge in the Liquidity risk and reporting domain. Primary Skills: • 4-10 Years of experience within the financial services industry (Banking, Liquidity, Treasury, ALM) Exposure to regulatory reporting, cashflow management, Basel liquidity regulations & Financial Risk Management Strong experience with databases, data querying languages and data management tools (for ex. Excel/ SQL/PLSQL/SPSS) At least 1 Risk/ Regulatory Reporting project experience Capable of performing detailed data analysis, interpreting trends, and identifying process improvement opportunities End-to-end technology implementation project related to Finance/Accounting data. • Strong stakeholder management, coordinating across multiple teams and country finance. • Experience in writing BRDs/FRDs, conducting UAT and Prod release. Experience with both waterfall & agile methodologies Secondary Skills: End to End understanding of at least one of the regulations/compliance requirements like LCR, NSFR and different regulators. Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Actively engages with regulatory frameworks and ensures the liquidity change team achieves outcomes aligned with the banks conduct principles. Understanding of Technology stack that supports banking operations. Understanding of Moody’s Fermat/Risk Authority is desirable. Experience in Test Case/Scenario creation for QA, UAT and Prod release testing. Strong commitment to regulatory and business conduct, ensuring compliance with legal and ethical standards, and embedding the highest standards of ethics across the organization. Excellent communication skills, written, verbal, and listening. Education Qualifications: B.E. & M.B.A. Location: Bangalore / Chennai

Role Overview: As an Analytics Consultant at Proclink, you will play a critical role in delivering Data and Analytics solutions to a leading U.S. BFSI client. This role demands strong analytical thinking, business acumen, and hands-on experience in applying advanced analytics. Key Responsibilities: Partner with client stakeholders to define business problems and develop data-driven solutions Perform exploratory and statistical analysis to uncover trends, risks, and growth opportunities Work with large datasets using SQL, Python; ensure data integrity and interpretability Present insights, hypotheses, and recommendations clearly to cross-functional teams Align analytics solutions with regulatory and business rules in the U.S. banking context Collaborate with Proclinks internal teams in data engineering and AI/ML productization. Should understand credit card collection definitions and would have worked on creating collection strategies. Proactively analyse the collection efforts that helps collection/ recovery team Required Qualifications: 4 to 10 years of hands-on experience in analytics or data science in BFSI domain, preferably in credit card platform under fraud or collection team Expertise in SQL and Excel Prior experience working with U.S.-based clients in the BFSI space Experience in predictive modeling, customer segmentation Excellent communication and problem-solving skills Bachelors or Masters degree in Engineering, Statistics, Economics, Business Administration or related field Interested candidates can share resume at tisha.vaghela@proclink.com

Business Analyst - Treasury and Liquidity Reporting BA (Senior Consultant/Manager) Location - Chennai & Bangalore Description: Requires strong business analysis skills, an understanding of the SDLC, and specialized knowledge in the Liquidity risk and reporting domain. Primary Skills: • 4-10 Years of experience within the financial services industry (Banking, Liquidity, Treasury, ALM) Exposure to regulatory reporting, cashflow management, Basel liquidity regulations & Financial Risk Management Strong experience with databases, data querying languages and data management tools (for ex. Excel/ SQL/PLSQL/SPSS) At least 1 Risk/ Regulatory Reporting project experience Capable of performing detailed data analysis, interpreting trends, and identifying process improvement opportunities End-to-end technology implementation project related to Finance/Accounting data. • Strong stakeholder management, coordinating across multiple teams and country finance. • Experience in writing BRDs/FRDs, conducting UAT and Prod release. Experience with both waterfall & agile methodologies Secondary Skills: End to End understanding of at least one of the regulations/compliance requirements like LCR, NSFR and different regulators. Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Actively engages with regulatory frameworks and ensures the liquidity change team achieves outcomes aligned with the banks conduct principles. Understanding of Technology stack that supports banking operations. Understanding of Moody’s Fermat/Risk Authority is desirable. Experience in Test Case/Scenario creation for QA, UAT and Prod release testing. Strong commitment to regulatory and business conduct, ensuring compliance with legal and ethical standards, and embedding the highest standards of ethics across the organization. Excellent communication skills, written, verbal, and listening. Education Qualifications: B.E. & M.B.A. Location: Bangalore / Chennai

Exp: 7 to 15 years Location: Only Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc. Role and Responsibilities: - Primary day-to-day client contacts and often interact with C-level executives. - Is primary client day-to-day contact & ensures client needs are well understood, defined & met - Serves as the primary interface between senior client management and senior leadership (VPs and SVPs) - Interacts regularly with clients to understand business requirements, define analytical problems, structure and communicate solutions and ensure client satisfaction with strong business driving results - Manages / leads 1-2 engagement/ projects with different team structures and service delivery models. Responsible for driving revenue generating from these accounts - Leads project teams of 3-6 consultants or more, and/ or Team Lead and Analysts in all aspects of project execution - Plays critical role in defining the problem, structuring the solution, and executing against it - Clearly defines project deliverables, timelines and methodology laying out the project plan - Owns the execution of the project, with on time delivery every time, ensuring all project goals are met - Manages team members, including definition of objectives, oversight of execution and evaluation of performance - Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients' success - Candidate Profile: - 7+ years of experience comprising analytics service delivery, consulting, solution design and client management - Experience and strong knowledge of the analytics service industry with focus on B2C & Omni-channel retail across customer lifecycle and customer journey - Demonstrable leadership ability, superior problem solving and people management skills - Excellent listening, written communication and presentation skills - Experience / exposure to marketing, operations, sales, merchandizing and supply chain, retail strategy, project management, cost reduction, and business development for Retail and Media organizations - Master's degree in management, data science, economics, mathematics, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

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: 38 years of experience in Data Analytics or a related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, or Marketing Analytics. Strong proficiency in Tableau for data visualization; advanced SQL knowledge preferred. Experience working with big data technologies like the Hadoop ecosystem (Hive), Spark. Familiarity with Python programming language

Salary: 30 to 45 LPA Exp: 8 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.

Role & responsibilities We are seeking an experienced Senior Data Scientist with a strong background in traditional Machine Learning (ML), AI, and expertise in Azure Fabric to work in the Finance Department of a Bank. The ideal candidate will play a key role in applying advanced analytics to drive business insights, improve processes, and enhance decision-making in the banking sector. The candidate should be proficient in ML models and AI technologies with a focus on real-world banking applications and have hands-on experience with Azure Fabric. Mandatory Skills Proven experience in traditional Machine Learning (ML) and Artificial Intelligence (AI). Strong experience in Azure Fabric and its integration with various banking systems. Expertise in Data Science methodologies, predictive modelling, and statistical analysis. Solid understanding of the Finance domain with a focus on banking processes and challenges. Hands-on experience with cloud platforms (Azure). Experience in the banking or financial services industry. Key Responsibilities Design and implement Machine Learning (ML) and Traditional Artificial Intelligence (AI) models to solve complex business problems in the finance sector. Work closely with business stakeholders to understand requirements and translate them into data-driven solutions. Develop and deploy ML models on Azure Fabric, ensuring their scalability and efficiency. Analyze large datasets to identify trends, patterns, and insights to support decision-making. Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and banking systems. Maintain and optimize deployed models and ensure their continuous performance. Keep up to date with industry trends, technologies, and best practices in AI and ML, specifically within the finance industry. Qualifications Education: Bachelors/Masters degree in Computer Science, Data Science, Engineering, or related field. Certifications: Relevant certifications in Data Science, Azure AI, or Machine Learning is a plus. Technical Skills Expertise in Machine Learning (ML) algorithms (Supervised and Unsupervised). Strong experience with Azure Fabric and related Azure cloud services. Familiarity with Python and data science libraries (Pandas, Scikit-learn, TensorFlow). Experience in AI and Deep Learning models, including neural networks. . Compensation & Benefits Competitive salary and annual performance-based bonuses Comprehensive health and optional Parental insurance. Optional Retirement savings plans and tax savings plans. Work-Life Balance: Flexible work hours KRA (Key Result Areas) Timely and effective delivery of ML/AI models that solve complex business problems. Continuous improvement and optimization of deployed models. High-quality insights and data-driven solutions delivered for business stakeholders. Client satisfaction with AI/ML solutions implemented within the banking domain. KPI (Key Performance Indicators) Number of successful ML/AI models deployed and their performance post-deployment. Model accuracy and predictive capability (based on business goals). Client feedback on AI-driven solutions. Completion time for delivering actionable data-driven insights. Team collaboration and mentoring effectiveness with junior data scientists Preferred candidate profile Soft Skills Excellent problem-solving and analytical skills. Strong communication skills, with the ability to present complex data insights clearly to non-technical stakeholders. Ability to work effectively in a collaborative, cross-functional environment. Strong attention to detail and ability to manage multiple tasks simultaneously. A passion for continuous learning and staying updated on new technologies. Good to Have Familiarity with DevOps practices for ML/AI model deployment. Knowledge of cloud-native architecture and containerization (Docker, Kubernetes). Familiarity with Deep Learning and Natural Language Processing (NLP) techniques. Familiarity with SQL and NoSQL databases. Experience with version control systems (Git, GitHub, etc.). Work Experience 8-12 years of experience in Data Science, with hands-on experience in ML, AI, and working within the finance or banking industry. Proven track record of designing and deploying machine learning models and working with Azure Fabric. Experience with client-facing roles and delivering solutions that impact business decision-making

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SQL, Power BI, 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 SQL, 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.

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: 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.

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.

We are seeking an experienced Core Banking Specialist with deep expertise in Islamic Banking systems to join our dynamic team. The ideal candidate will bring a solid understanding of Shariah-compliant banking principles, demonstrate strong customer orientation, and drive results through innovative and technology-forward approaches. This role requires collaboration across multiple business and technology teams to deliver high-quality solutions that meet customer and business needs. Key Responsibilities Customer Focus Engage proactively with internal and external customers to understand their needs, challenges, and goals. Identify opportunities to enhance customer value through system enhancements and service improvements. Build and deliver solutions that meet or exceed customer expectations. Maintain and strengthen long-term customer relationships by ensuring high-quality support and communication. Technology Savviness Stay abreast of emerging technologies, tools, and practices relevant to core banking and Islamic financial services. Embrace and promote the adoption of new technologies and ways of working across teams. Act as a change champion, helping others adapt to new digital tools and systems through guidance and training. Continuously develop personal technical skills through professional networks, research, and training programs. Innovation Generate creative solutions that align with business goals and customer expectations. Propose and implement innovative approaches to improve processes and solve complex problems. Cultivate a culture of experimentation and calculated risk-taking to foster continuous improvement. Promote diverse perspectives and creative thinking within teams to drive product and service innovation. Result Orientation Demonstrate a strong commitment to achieving business results and customer satisfaction. Persistently drive tasks and projects to completion despite challenges. Maintain high standards of quality and accountability, ensuring deliverables exceed expectations. Inspire and influence others to perform at their best and deliver value consistently. Required Experience and Skills 7 to 15 years of hands-on experience working with Core Banking Systems , preferably with a focus on Islamic Banking solutions . In-depth domain knowledge of Shariah law and its application in Islamic financial products and services. Proven track record of managing customer relationships and aligning technical solutions with customer expectations. Strong understanding of CBS modules including retail, corporate, deposits, lending, trade finance, treasury, and compliance. Experience working with diverse stakeholders across different geographies and functions , facilitating seamless coordination and project delivery. Excellent analytical, problem-solving, and communication skills with the ability to work across business and technology functions. Ability to work in a fast-paced environment with minimal supervision and adapt to evolving business needs. Preferred Qualifications Bachelor's or Masters degree in Information Technology, Finance, or related discipline. Certifications in Core Banking Systems or Islamic Banking principles are a plus. Exposure to regulatory environments and digital banking transformations.

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.

Hiring for Multiple Roles 1. SAS, SQL, Marketing Analytics 2. SAS, SQL, Credit Risk Model 3. SAS, SQL Strategy Development 4. SAS, SQLCollection Strategy 5. SAS, SQL, MRM 6. SAS, SQL, Credit Risk Model