Key Responsibilities: Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems. Develop tools and scripts to support model monitoring, logging, and retraining workflows. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring. Contribute to the development of a feature store and standardized processes to support reproducible data science. Required Skills & Experience: 13 years of hands-on experience in Python programming for data science or ML engineering tasks. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc. Familiarity with ETL pipelines and data transformation best practices. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins. Strong analytical mindset with the ability to interpret and debug data/model issues. Preferred Qualifications: Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar. Knowledge of ML lifecycle tools (e.g., MLflow, Ray). Familiarity with cloud platforms (AWS preferred) and scalable infrastructure. Experience with data or model versioning tools and feature engineering frameworks.

Job Overview: We are looking for a passionate and detail-oriented candidate/Data Engineer to join our dynamic team. In this role, you will assist in designing, developing, and maintaining scalable data pipelines and support the overall data infrastructure. You will work closely with various teams to gather requirements, develop innovative solutions, and ensure data integrity and security. This position offers an excellent opportunity to learn and grow in the field of data engineering while contributing to impactful data-driven projects. Job Details Data Engineer: Datawarehouse: Support the development & validation of Datawarehouse and BI systems, maintaining user connectivity and security, while developing data architecture, data modelling, and ETL mapping solutions within a structured data warehouse environment. Data Pipeline: Assist in designing, developing, and maintaining scalable data pipelines while collaborating with teams to create elegant solutions for the business's data needs. ETL Processes: Develop and optimize ETL routines according to Data Warehouse design and architecture, following best practices for data loading and extraction. Database Management: Work with relational and NoSQL databases to store and retrieve data efficiently along with maintaining the platform to perform optimally. Data Quality: Implement and monitor data quality checks to ensure the accuracy and completeness of data. Data Analysis: Collaborate with data analysts and data scientists to understand data requirements and support their analytical needs. Monitor the DWH and BI systems performance and integrity provide corrective and preventative maintenance as required. Facilitate requirements gathering to develop effective solutions for business needs and maintain clear documentation of data pipelines, processes, and procedures. Continuously learn and apply new technologies and best practices in data engineering. Skill set: Logical Skills Python/JAVA MySQL, AWS Redshift, NoSQL-MongoDB Big Data concepts along with Spark ETL Concepts - Any Tool preferably Open Source Data Warehouse concepts Data Visualization Tool Preferably Tableau Cloud Knowledge Preferably AWS Good to have: Data Quality Solutions, Apache Kafka

About the Role We are looking for a talented and motivated Data Scientist to join our Marketing and Product Analytics team. In this role, you will work closely with cross-functional teams to analyse data, build models, and generate insights that drive key decisions across our marketing and product functions. This is a fantastic opportunity to apply your analytical skills in a fast-paced, data-driven environment with a strong culture of experimentation and impact. Responsibilities Conduct deep-dive analyses to uncover insights on user behaviour, marketing performance, and product engagement. Create clear, concise dashboards and reports to communicate findings to stakeholders. Partner with product managers, marketers, and engineers to design experiments and evaluate their outcomes. Continuously identify opportunities to improve decision-making through data. Extract, clean, and transform data to ensure quality and usability across analytics initiatives. Build, validate, and deploy machine learning and statistical models to solve business problems. Required Skills Proficient in Python and SQL (MySQL or Redshift experience preferred). Experience with data visualization tools (e.g., Tableau, Power BI, or Plotly). Solid understanding of machine learning, A/B testing, and statistical analysis. Strong problem-solving skills and a structured approach to working with complex datasets. Excellent communication skills with the ability to present findings clearly to non-technical audiences. Comfortable working in a collaborative and fast-paced remote environment. Education and Background B.Tech or M.Tech in Computer Science, Data Science, Engineering, or a related quantitative field. 13 years of experience in a data science, analytics, or similar role. Exceptional freshers with project/internship experience may also be considered. Prior experience working in a consumer-tech or fintech environment is a plus. Why Join Us Be part of a high-impact analytics team shaping marketing and product strategy. Work on real-world problems with direct influence on business outcomes. Enjoy a remote-first work environment with flexibility and autonomy. Get access to mentorship, continuous learning, and growth opportunities.

Responsibilities Planning, designing, debugging, and coding software solutions for Java application development. Develop Java-based software using industry best practices. Writing and implementing efficient and reusable code in Java Test the software to ensure it meets requirements and performs well. Provide technical support to software users. Troubleshoot problems with the software. Collaborate with software engineers to ensure that code is of the highest quality. Work with product managers and designers to ensure the software is designed well and meets user needs. Identify opportunities to improve existing Java code. Required Job Qualifications and Skill Sets : Bachelors degree in computer science or related field. 3 to 4 years of experience in Java development. Thorough knowledge of SDLC and software engineering. Strong in programming fundamentals using Java 8 or higher versions. Hands-on framework such as Spring boot, Hibernate. Strong Knowledge of MYSQL or other related RDBMS. Possess excellent analytical, problem solving, organizational, interpersonal skills. Ability to work both independently and as part of a team. Preferred Experience in DevOps tools [Docker, CI/CD]. Experience in Redis, MongoDB. Knowledge of AWS and other cloud platforms. Knowledge of Unix-based We Offer : Competitive Compensation : We offer a competitive salary, fixed annual bonus, and comprehensive insurance coverage, including group Mediclaim Insurance for your family, an Accidental Policy, and Group Term Life Insurance for you. Work-Life Balance : Enjoy a healthy work-life balance with flexible work hours and remote work. Company Culture : Be a part of a friendly, positive, and inclusive company culture that fosters collaboration, creativity, and continuous learning. (ref:hirist.tech) Show more Show less

Role Overview: This role requires strong knowledge in SQL, Python, and strong logical, analytical, and problemsolving skills. The candidate will support automated and semi-automated monitoring processes and collaborate with cross-functional teams to develop new monitoring frameworks, automate activities, and create alert systems throughout the loan lifecycle. The ideal candidate will demonstrate technical acumen, effective communication skills, and a proactive approach to quality assurance and continuous improvement. Experience: 0 - 2 years (Hands-on experience in writing SQL queries and scripts in Python would bean added advantage) Core Technical Skills: - Strong ability to create and optimize complex queries for analysis using Amazon Redshift or similar database services. - Skilled in Python scripting to develop and maintain automation scripts, monitoring tools, and alerts. - Ability to translate business needs to technical specifications, understand the requirements thoroughly and work closely with internal stakeholders to ensure the deliverability on time with great quality. - Ability to create and manage database tables, maintain data integrity, and generate reports for ongoing monitoring and analysis. - Ability to analyse and monitor the automated reports and be proactive in capturing any issues. - Ability to interpret data and turn it into analytical reports which can offer ways to improve a business, thus affecting business decisions. Roles and Responsibilities: - Evaluate, refine, and improve existing monitoring frameworks and processes. - Collaborate with cross-functional teams to integrate systems and develop end-to-end monitoring solutions. - Assist in converting semi-automated processes to fully automated frameworks using SQL, Python, and alerting systems. - Maintain, update, and improve SQL and Python scripts for enhanced efficiency and process reliability. - Develop database queries, conduct data analysis, and create visualizations and reports that support decision-making - Summarizing the monitoring reports to Managers on a daily and monthly basis - Taking part in the daily stand-up and provide updates - Taking part in release demos and product walk-through sessions Soft Skills: - Strong verbal and written communication skills to clearly document processes, communicate issues, and collaborate across teams. - Ability to function as both an individual contributor and a collaborative team member. - Analytical mindset, attention to detail, and self-motivated to learn new skills and tools as required by team needs.

About The Role We are looking for a talented and motivated Senior Data Analyst to join our Marketing and Product Analytics team In this role, you will work closely with cross-functional teams to analyse data, build models, and generate insights that drive key decisions across our marketing and product functions This is a fantastic opportunity to apply your analytical skills in a fast paced, data-driven environment with a strong culture of experimentation and impact. Responsibilities Extract, clean, and transform data to ensure quality and usability across analytics initiatives. Build, validate, and deploy machine learning and statistical models to solve business problems. Using your SQL, Python, R expertise to interrogate our data to solve key business problems. Create clear, concise dashboards and reports to communicate findings to stakeholders. Conduct deep-dive analyses to uncover insights on user behaviour, marketing performance, and product engagement. Create clear, concise dashboards and reports to communicate findings to stakeholders. Partner with product managers, marketers, and engineers to design experiments and evaluate their outcomes. Experience in taking a business question or problem and turning it into an insight brief Perform deep dives into campaign metrics to identify drivers of performance and recommend actionable strategies. Stay updated on industry trends, best practices, and emerging technologies in Marketing analytics. Proactively bringing new ideas to the table relating to business questions, analytics approaches, datasets and ways of working. Shape our marketing approach actionable insights. Required Skills Proficient in Python and SQL (MySQL or Redshift experience preferred). Experience with data visualization tools (e.g., Tableau, Power BI, or Plotly). Solid understanding of machine learning, A/B testing, customer segmentation and statistical analysis. Strong problem-solving skills and a structured business approach to working with complex datasets. Excellent communication skills with the ability to present findings clearly o non-technical audiences. Highly motivated and collaborative to excel in a fast-paced remote environment. Proven work experience in working on business analytics and marketing insights. Education And Background EXP.- 3-5 years of experience in an analytics/data science role Prior experience in marketing/customer analytics required. Prior experience working in a consumer-tech, credit/lending or fintech environment is a plus. Experience in a business or marketing analytics product setting, leveraging data science to drive business outcomes.

We are seeking a highly skilled and motivated Automation Engineer responsible for designing, implementing, and maintaining comprehensive automated testing frameworks, leading a team of automation engineers to develop and execute automated tests, identifying new automation opportunities, and ensuring high quality software delivery by proactively identifying and resolving issues through robust automation strategies, while collaborating closely with development teams and stakeholders to optimize testing : Lead and manage the automation testing efforts within the team. Design, develop, and maintain scalable and reusable test automation frameworks. Collaborate with cross-functional teams to understand Business requirements and provide testing support. Create and execute test cases for REST services to validate system functionality. Create and maintain comprehensive test documentation, including checklists and test plan. Contribute to the continuous improvement of testing processes and methodologies. Stay up to date with new testing approaches, tools, and test strategies. Identifying the KPIs for quality and improve it with required strategies. Provide mentorship and guidance to junior team members in testing best practices. Integrate automation frameworks with CI/CD pipelines for continuous testing. Participate in scrum ceremonies and adhere to Agile principles in testing activities. Evaluate and do Proof of Concept with latest tools and : 2+ Year experience in automation using Java. Strong on QA methodologies, concepts, and best practices. Demonstrated analytical and problem-solving skills. Good team player with team leading capabilities and be a strong individual contributor. Expert in API testing using rest-assured frameworks. Expert in UI automation using tools like Selenium web driver or playwright. Experience in creating and maintaining automation frameworks from scratch. Knowledge of database concepts and data manipulation techniques. Strong expertise in the BDD Framework. Experience with Test Management tool like Xray, Zephyr etc. Exposure to distributed source control systems such as Git. Proficiency on the Integrating Automation tools in CI/CD pipeline like Jenkins / Gitlab. Basic Knowledge of AWS Cloud and Docker would be a plus. Experience with performance testing tools (e.g., JMeter, Gatling) is a plus.

About The Role We are looking for a talented and motivated Senior Data Scientist to join our Marketing and Product Analytics team In this role, you will work closely with cross-functional teams to analyse data, build models, and generate insights that drive key decisions across our marketing and product functions This is a fantastic opportunity to apply your analytical skills in a fast-paced, data-driven environment with a strong culture of experimentation and impact Conduct deep-dive analyses to uncover insights on user behaviour, marketing performance, and product engagement. Create clear, concise dashboards and reports to communicate findings to stakeholders. Partner with product managers, marketers, and engineers to design experiments and evaluate their outcomes. Continuously identify opportunities to improve decision-making through data. Extract, clean, and transform data to ensure quality and usability across analytics initiatives. Build, validate, and deploy machine learning and statistical models to solve business problems. Required Skills Proficient in Python and SQL (MySQL or Redshift experience preferred). Experience with data visualization tools (e.g., Tableau, Power BI, or Plotly). Solid understanding of machine learning, A/B testing, customer segmentation and statistical analysis. Strong problem-solving skills and a structured approach to working with complex datasets. Excellent communication skills with the ability to present findings clearly o non-technical audiences. Highly motivated and collaborative to excel in a fast-paced remote environment. Education and Background B.E 3-5 years of experience in an analytics/data science role Prior experience in marketing/customer analytics required. Prior experience working in a consumer-tech, credit/lending or fintech environment is a plus.

Role Summary We are seeking a strategic and hands-on Senior Manager to lead our Fraud Strategy function. This person will own the development and performance of fraud models and scorecards, work closely with cross-functional partners to define fraud policies, and ensure effective collaboration with our fraud operations team. The ideal candidate combines strong analytical skills, a solid understanding of fraud typologies in consumer lending, and a pragmatic approach to implementation. Key Responsibilities Lead fraud strategy for the lending portfolio, balancing risk mitigation with customer experience and approval rates. Develop and maintain fraud detection models and anomaly detection systems using internal and third-party data. Manage fraud scorecard performance and recommend model improvements or policy changes as needed. Collaborate with fraud operations to monitor real-time fraud trends and adapt policies dynamically. Partner with product, data engineering, and external vendors to evolve fraud detection infrastructure. Provide regular fraud performance reporting and deep dives for senior leadership Act as subject matter expert on fraud data, model outputs, and cross-channel : 58 years of experience in fraud strategy, analytics, or credit risk in financial services or fintech. Strong understanding of identity fraud, synthetic fraud, first-party fraud, and third-party fraud patterns. Hands-on experience with fraud models, machine learning tools, and scorecard management. Advanced proficiency in SQL and Python for data analysis and modeling. Experience working with third-party fraud data providers and integrating fraud rules or signals into decision engines. Ability to communicate insights and recommendations clearly to technical and non-technical stakeholders. Exposure to US consumer lending regulations and risk management practices preferred. (ref:hirist.tech) Show more Show less

Position Title : Manager-Data Science Location : Remote (Hybrid option available, if in Chennai) Company : ADF Data Science Pvt. Ltd. : Analytics, Risk and R&D Position Type : Full-Time Job Summary We are seeking skilled and motivated Data Scientists with 4+ years of experience in data science with good domain understanding. The ideal candidate will have a strong foundation in data science concepts, proficiency in analytical tools, and the ability to translate data insights into actionable business recommendations. This role requires a blend of technical expertise and business acumen, preferable in financial (credit, risk) fields, to drive data-driven decision making. This will be an individual contributor role or lead for a small team (if relevant experience is present) Qualifications Education : Bachelor of Engineering or master's in quantitative areas. It is mandatory that the ideal candidate should be from tier 1 institutes. Experience 4+ years of experience in data science and business analytics projects. The ideal candidate should exposure in Credit risk analytics. Proven experience in data handling, analytics with good exposure to statistical analysis and machine learning. Technical Skills Expertise in programming languages such as Python and SQL. Expertise in machine learning algorithms. Soft Skills Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to lead a team. (ref:hirist.tech) Show more Show less

Job Description We are seeking a highly skilled and motivated Automation Engineer responsible for designing, implementing, and maintaining comprehensive automated testing frameworks, leading a team of automation engineers to develop and execute automated tests, identifying new automation opportunities, and ensuring high quality software delivery by proactively identifying and resolving issues through robust automation strategies, while collaborating closely with development teams and stakeholders to optimize testing : Lead and manage the automation testing efforts within the team. Design, develop, and maintain scalable and reusable test automation frameworks. Collaborate with cross-functional teams to understand Business requirements and provide testing support. Create and execute test cases for REST services to validate system functionality. Create and maintain comprehensive test documentation, including checklists and test plan. Contribute to the continuous improvement of testing processes and methodologies. Stay up to date with new testing approaches, tools, and test strategies. Identifying the KPIs for quality and improve it with required strategies. Provide mentorship and guidance to junior team members in testing best practices. Integrate automation frameworks with CI/CD pipelines for continuous testing. Participate in scrum ceremonies and adhere to Agile principles in testing activities. Evaluate and do Proof of Concept with latest tools and : 2+ Year experience in automation using Java. Strong on QA methodologies, concepts, and best practices. Demonstrated analytical and problem-solving skills. Good team player with team leading capabilities and be a strong individual contributor. Expert in API testing using rest-assured frameworks. Expert in UI automation using tools like Selenium web driver or playwright. Experience in creating and maintaining automation frameworks from scratch. Knowledge of database concepts and data manipulation techniques. Strong expertise in the BDD Framework. Experience with Test Management tool like Xray, Zephyr etc. Exposure to distributed source control systems such as Git. Proficiency on the Integrating Automation tools in CI/CD pipeline like Jenkins / Gitlab. Basic Knowledge of AWS Cloud and Docker would be a plus. Experience with performance testing tools (e.g., JMeter, Gatling) is a plus. (ref:hirist.tech) Show more Show less

Role : Machine Learning Engineer Key Responsibilities Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems. Develop tools and scripts to support model monitoring, logging, and retraining workflows. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring. Contribute to the development of a feature store and standardized processes to support reproducible data science. Required Skills & Experience 1-3 years of hands-on experience in Python programming for data science or ML engineering tasks. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc. Familiarity with ETL pipelines and data transformation best practices. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins. Strong analytical mindset with the ability to interpret and debug data/model issues. Preferred Qualifications Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar. Knowledge of ML lifecycle tools (e.g., MLflow, Ray). Familiarity with cloud platforms (AWS preferred) and scalable infrastructure. (ref:hirist.tech) Show more Show less

Key Responsibilities. Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation.. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems.. Develop tools and scripts to support model monitoring, logging, and retraining workflows.. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption.. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring.. Contribute to the development of a feature store and standardized processes to support reproducible data science.. Required Skills & Experience. 1-3 years of hands-on experience in Python programming for data science or ML engineering tasks.. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring.. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc.. Familiarity with ETL pipelines and data transformation best practices.. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins.. Strong analytical mindset with the ability to interpret and debug data/model issues.. Preferred Qualifications. Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar.. Knowledge of ML lifecycle tools (e.g., MLflow, Ray).. Familiarity with cloud platforms (AWS preferred) and scalable infrastructure..

Responsibilities. Planning, designing, debugging, and coding software solutions for Java application development.. Develop Java-based software using industry best practices.. Writing and implementing efficient and reusable code in Java. Test the software to ensure it meets requirements and performs well.. Provide technical support to software users.. Troubleshoot problems with the software.. Collaborate with software engineers to ensure that code is of the highest quality.. Work with product managers and designers to ensure the software is designed well and meets user needs.. Identify opportunities to improve existing Java code.. Required. Job Qualifications and Skill Sets :. Bachelors degree in computer science or related field.. 3 to 4 years of experience in Java development.. Thorough knowledge of SDLC and software engineering.. Strong in programming fundamentals using Java 8 or higher versions.. Hands-on framework such as Spring boot, Hibernate.. Strong Knowledge of MYSQL or other related RDBMS.. Possess excellent analytical, problem solving, organizational, interpersonal skills.. Ability to work both independently and as part of a team.. Preferred. Experience in DevOps tools [Docker, CI/CD].. Experience in Redis, MongoDB.. Knowledge of AWS and other cloud platforms.. Knowledge of Unix-based We Offer :. Competitive Compensation : We offer a competitive salary, fixed annual bonus, and comprehensive insurance coverage, including group Mediclaim Insurance for your family, an Accidental Policy, and Group Term Life Insurance for you..

Competencies & Experience: Automation mindset. Drive infrastructure requirements through codes and automation. Engage in the design and implementation stages of both new and current products, emphasizing your technical understanding of AWS to ensure that the requirements are successfully carried out. Explore new build tools/libraries to improve the reliability of the system/services. Ability to provide in-depth evaluation and analysis of new tools/technical issues. High interaction with cross-functional teams and work with them closely to achieve business goals. Ability to take ownership of products or services to continuously improve operational efficiency, elasticity, and reliability of high volumes and mission-critical cloud-based systems. Identify and address patterns in infrastructure and applications that can be solved with a common solution among the products. Report problems and participate in related root cause analysis or incident post-mortems. Provide analysis of poor performance and instabilities identified in systems. Support continuous release promotion cycle (through automation) including the following environments: o Development, Testing, Pre-prod, and Production. Actively monitor and administer the applications and hosting environment to increase efficiency, improve reliability, and minimize downtime. Active participation for Incident / Problem Management, Release Management, Change Control, and Monitoring among other areas. Technical Experience: Must have 2-3 years of experience in a DevOps role. Expertise with Devops tools Docker, Terraform, Git, Jenkins, Ansible. Expertise in AWS Cloud services& SDKs. Expertise in Python, Groovy, and Shell scripting. Experience in CI/CD pipelines. Strong in Devops methodologies and processes. Good understanding & experience in Databases MySQL / Mongo. Experience in any of Container orchestration tools (Amazon ECS, Docker Swarm, Kubernetes, etc.). Expertise in Infrastructure & Application monitoring tools like Datadog, Zabbix, ELK, etc. Strong knowledge and experience of Unix/Linux based operating systems. Good understanding of Infrastructure & Application Security Location : - Mumbai, Kerala

Job Responsibilities Report and Dashboard Development: Design, develop, and maintain interactive dashboards and reports using BI reporting tools like Tableau. Collaborate with stakeholders to define report requirements and KPIs. Data Modeling and ETL: Develop data models and ETL processes to extract, transform, and load data into BI tools. Optimize data pipelines for performance and efficiency. Business Collaboration: Collaborate with business users to understand their data needs and translate them into actionable insights. Communicate complex technical concepts to non-technical stakeholders. Provide training and support to end-users on BI tools and reports. Data Analysis and Insights: Analyze large and complex datasets to identify trends, patterns, and anomalies. Develop and maintain data quality standards and processes. Conduct ad-hoc analysis to address specific business questions. Skill Set 2 to 3 years of relevant work experience Agile/Scrum model of working Strong proficiency in SQL and data modeling techniques. Experience with BI tools (Tableau, Power BI, etc.). Experience with Python or PySpark programming languages Knowledge of data warehousing and ETL processes. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to work independently and as part of team Location-Chennai,Bengaluru,Mumbai,Hyderabad

Key Responsibilities: Product Roadmap Management: Work with internal stakeholders and Sr. Product Team members to manage and execute the product roadmap. Prioritize the roadmap in alignment with business objectives and market/customer needs. Stakeholder Collaboration: Engage with cross-functional teams including engineering, analytics/risk, design, marketing, and operations to gather requirements, prioritize features, and ensure successful product delivery. Business and Customer Context: Build a strong understanding of the market, competition and customer segments. Keep a tab on issues and customer pain points on an ongoing basis and define solutions Documentation: Create detailed Product Requirement Documents (PRDs) and Business Requirement Documents (BRDs) that communicate product specifications and business needs to the development team. Project Management: Collaborate with the Project Management Team to oversee the product development process from conception to launch, ensuring timely delivery and high-quality outcomes. Monitor progress and adjust plans as necessary to meet project goals. Performance Monitoring: Track and analyze product performance metrics post-launch to identify areas for improvement and ensure products meet user expectations and business objectives. Innovation and Improvement: Continuously seek opportunities for product enhancements and innovations that will drive growth and improve user satisfaction. Skills and Qualifications: 2+ years of experience in a Product Role with a Financial Services, FinTech, Ecommerce or a Digital 1st company. Work experience in an agile project will be ideal B.Tech /B.E/Graduate in Computer Science/IT from a Tier1 or 2 college. MBA is a plus Excellent verbal and written communication skills to audiences of various levels in the organization, e.g., executive, management, individual contributors Comprehensive and detailed Business Analysis and Requirement Documentation (BRD) skills required. Ability to persuade and influence others on the best approach to take Ability to stay motivated and focused in a hybrid/remote work environment

Core Technical Skills: Strong ability to create and optimize complex queries for analysis using Amazon Redshift or similar database services. Skilled in Python scripting to develop and maintain automation scripts, monitoring tools, and alerts. Ability to translate business needs to technical specifications, understand the requirements thoroughly and work closely with internal stakeholders to ensure the deliverability on time with great quality. Ability to create and manage database tables, maintain data integrity, and generate reports for ongoing monitoring and analysis. Ability to analyse and monitor the automated reports and be proactive in capturing any issues. Ability to interpret data and turn it into analytical reports which can offer ways to improve a business, thus affecting business decisions. Roles and Responsibilities: Evaluate, refine, and improve existing monitoring frameworks and processes. Collaborate with cross-functional teams to integrate systems and develop end-to-end monitoring solutions. Assist in converting semi-automated processes to fully automated frameworks using SQL, Python, and alerting systems. Maintain, update, and improve SQL and Python scripts for enhanced efficiency and process reliability. Develop database queries, conduct data analysis, and create visualizations and reports that support decision-making Summarizing the monitoring reports to Managers on a daily and monthly basis Taking part in the daily stand-up and provide updates Taking part in release demos and product walk-through sessions Soft Skills: Strong verbal and written communication skills to clearly document processes, communicate issues, and collaborate across teams. Ability to function as both an individual contributor and a collaborative team member. Analytical mindset, attention to detail, and self-motivated to learn new skills and tools as required by team needs.

Responsibilities: Planning, designing, debugging, and coding software solutions for Java application development. Develop Java-based software using industry best practices. Writing and implementing efficient and reusable code in Java Test the software to ensure it meets requirements and performs well. Provide technical support to software users. Troubleshoot problems with the software. Collaborate with software engineers to ensure that code is of the highest quality. Work with product managers and designers to ensure the software is designed well and meets user needs. Identify opportunities to improve existing Java codeJob Qualifications and Skill Sets: Required Bachelors degree in computer science or related field. 3 to 4 years of experience in Java development. Thorough knowledge of SDLC and software engineering. Strong in programming fundamentals using Java 8 or higher versions. Hands-on framework such as Spring boot, Hibernate. Strong Knowledge of MYSQL or other related RDBMS. Possess excellent analytical, problem solving, organizational, interpersonal skills. Ability to work both independently and as part of a team. Preferred Experience in DevOps tools [Docker, CI/CD]. Experience in Redis, MongoDB. Knowledge of AWS and other cloud platforms. Knowledge of Unix-based systems.

Responsibilities: Planning, designing, debugging, and coding software solutions for python application development. Develop Python-based software using industry best practices. Writing and implementing efficient and reusable code in Python. Test the software to ensure it meets requirements and performs well. Provide technical support to software users. Troubleshoot problems with the software. Collaborate with software engineers to ensure that code is of the highest quality. Work with product managers, leads and business analysts to ensure the software is designed well and meets user needs. Identify opportunities to improve existing Python code. Requirement Bachelors degree in computer science or related field. 2 to 5 years of experience in Python development. Thorough knowledge of SDLC and software engineering. Strong in programming fundamentals using Python. Hands-on framework such as Django. Strong Knowledge of MYSQL or other related RDBMS. Possess excellent analytical, problem solving, organizational, interpersonal skills. Ability to work both independently and as part of a team. Preferred: Experience in DevOps tools [Docker, CI/CD]. Experience in Redis. Knowledge of AWS and other cloud platforms. Knowledge of Unix-based systems