Roles & Responsibilities Assist in designing, building, and optimizing our data pipelines Help maintain and troubleshoot Big Data systems Write efficient SQL queries to extract and analyze data Develop and maintain Python scripts for data processing and automation Collaborate with businesses, data scientists, and analysts to deliver data solutions Participate in data quality assurance processes Document data flows and technical specifications Requirements: Knowledge of Big Data systems (Apache Spark, Hive, ZooKeeper) Proficiency in SQL for data extraction and transformation Python programming skills for data processing and automation Experience with shell scripting for automation tasks Understanding of job tuning and performance optimization techniques Strong analytical and problem-solving abilities Good communication skills and ability to work in a team environment Preferred Qualifications: Bachelor's degree in Computer Science, Information Technology, Master of Computer Applications, or related field (or currently pursuing) Previous internship or project experience with data technologies Familiarity with data modeling concepts Basic understanding of cloud platforms (AWS, Azure, or GCP) Knowledge of version control systems like Git What we offer: Hands-on experience with enterprise-level data systems Mentorship from experienced data engineers Opportunity to work on challenging real-world data problems Collaborative and innovative team environment Professional growth and learning opportunities. Join us to build the data foundation that powers our organization's success!

About mPokket mPokket is a mobile app based lending platform that provides instant and paperless loans. We currently provide micro loans to college students and working professional in India. Our technology architecture and processes allow us to seamlessly onboard users, assess risk, and disburse and collect funds without any physical interface with our customers. Our employees are our most important asset and youll be part of the team who will ensure we have a happy and productive workplace where everyone works to realize our established mission and objectives. We are looking for a talented and self-driven Mid-Level Product Manager to join our dynamic team. This role is ideal for someone who thrives in a fast-paced environment, has a strong bias towards action, creative problem solver, and very detail oriented. Responsibilities • User Journey and Behavior Analysis: Understand and map out user journeys, behaviors, and pain points to inform product development and enhancements. • Funnel and Metrics Management: Analyze product funnels and metrics to identify areas for improvement and optimize user engagement and conversion rates. • Product KPIs: Define, track, and report on key product performance indicators to measure success and inform strategic decisions. • Agile Methodology: Utilize Agile practices to manage product development cycles, including sprint planning, backlog prioritization, and daily stand-ups. • Collaboration: Work closely with engineering, design, marketing, and customer support teams to ensure successful product launches and iterations. • Tool Proficiency: Use product management tools and analytics platforms to track progress, gather insights, and make data-driven decisions. • Problem Solving: Navigate and thrive in a chaotic environment, adapting to changing priorities and addressing challenges with creative solutions. • User-Centric Approach: Champion the user experience, ensuring that user feedback and insights drive product improvements. What are we looking for in you? • Experience: 3-6 years of product management experience, preferably within the fintech industry. • Education: Bachelor's degree in Technology, Business or a related field. If you have prior programming experience, that is a plus. • Analytical Skills: Strong analytical abilities with experience in using data to drive product decisions. • Communication Skills: Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and effectively. • Technical Proficiency: Familiarity with product management tools, analytics platforms, software engineering processes and system design thinking. • Agile Expertise: Hands-on experience with Agile methodologies and practices. • Problem-Solving: Ability to thrive in a fast-paced, chaotic environment and manage multiple priorities effectively. • Customer Focus: Deep understanding of user journeys and the ability to translate user needs into actionable product requirements.

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If youre also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities Responsible for overseeing the data scientists’ team and data specialists Teach, lead, and counsel colleagues on new techniques or solutions Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem Responsible for the conception, planning, and prioritizing of data projects Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques Ensure that data projects align with organizational goals Minimum Qualification Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field 10+ years of experience solving analytical problems using quantitative approaches

Role & responsibilities: Technical Skills: 1. Core Databricks Platform: Databricks workspace, clusters, jobs, notebooks, Unity Catalog 2. Big Data Technologies: Apache Spark (PySpark/Scala), Delta Lake, Apache Kafka 3. Programming Languages: Python (advanced), SQL (advanced), Scala (preferred) 4. Cloud Platforms: Azure (preferred) or AWS with Databricks integration 5. Data Pipeline Tools: Apache Airflow, Azure Data Factory, or similar orchestration tools 6. Version Control & CI/CD: Git, Azure DevOps, Jenkins, or GitHub Actions 7. Data Formats & Storage: Parquet, JSON, Avro, Azure Data Lake, S3 8. Monitoring & Observability: Databricks monitoring, custom metrics, alerting systems Leadership & Soft Skills: 1. Strong leadership and people management capabilities 2. Excellent communication skills with ability to explain complex technical concepts 3. Experience with Agile/Scrum methodologies 4. Problem-solving mindset with attention to detail 5. Ability to work in fast-paced, dynamic environments 6. 8+ years of overall experience in data engineering, software engineering, or related technical roles 7. 4+ years of hands-on experience with Databricks/big data platform and Apache Spark 8. 2+ years of team leadership or technical mentoring experience Preferred Qualifications: 1. Databricks certifications (Certified Data Engineer Associate/Professional) 2. Experience with MLOps and machine learning pipeline deployment 3. Knowledge of data mesh or data fabric architectures 4. Experience with streaming data processing using Spark Structured Streaming 5. Background in financial services, healthcare, or retail domains

Job Summary: The Assistant Manager of Quality plays a critical role in ensuring that operations within the business team meet or exceed established quality standards and client expectations. They are responsible for leading quality assurance initiatives, conducting audits, providing feedback, and implementing strategies to improve performance and customer satisfaction. Key Responsibilities: 1. Quality Assurance Leadership: Lead and supervise a team of Quality Analysts responsible for monitoring and evaluating operational performance. Develop and implement quality assurance policies, procedures, and best practices to ensure consistent service delivery. Provide guidance, support, and coaching to Quality Analysts to help them effectively carry out their responsibilities. 2. Performance Monitoring and Evaluation: Conduct regular audits and evaluations of operational processes and procedures to assess compliance with quality standards and client requirements. Analyze performance metrics and trends to identify areas for improvement and opportunities to enhance quality and efficiency. Collaborate with operations teams to address performance gaps and implement corrective actions as needed. 3. Training and Development: Develop and deliver training programs to educate team members on quality standards, processes, and tools. Provide ongoing coaching and feedback to help team members improve their performance and adherence to quality standards. Stay updated on industry trends and best practices in quality assurance and incorporate relevant knowledge into training programs. 4. Stakeholder Relationship Management: Collaborate with client-facing teams to understand business requirements and expectations regarding service quality. Serve as a point of contact for internal business inquiries, escalations, and feedback related to quality assurance. Work with the business team to address quality-related issues and implement solutions to enhance satisfaction and retention. 5. Continuous Improvement: Drive continuous improvement initiatives to enhance quality, efficiency, and customer satisfaction. Identify opportunities for process optimization, automation, and innovation to improve quality assurance processes and outcomes. Monitor the effectiveness of improvement initiatives and adjust strategies as needed to achieve desired results. Qualifications: Bachelor's degree in Business Administration, Quality Management, or related field (preferred). Previous experience in a quality assurance role within a BPO or similar industry. Strong leadership, communication, and interpersonal skills. Excellent analytical and problem-solving abilities. Proficiency in quality assurance tools, methodologies, and techniques. Knowledge of BPO industry standards, regulations, and best practices. Additional Requirements: Willingness to work flexible hours, including weekends and holidays, as required. Ability to thrive in a fast-paced and dynamic environment. Strong commitment to teamwork, collaboration, and continuous improvement. Ability to prioritize tasks and manage time effectively to meet deadlines.Role & responsibilities Preferred candidate profile

To ensure compliance with regulatory and law enforcement requirements by efficiently managing frameworks related to complaint resolution, law enforcement communication, and grievance redressal in accordance with RBI guidelines and internal standards. Responsibilities 1. RBI Complaint Management Framework • Oversee and ensure timely closure of complaints received via RBI CMS portal. • Submit initial responses within 3 working days and ensure final resolution within defined timelines. • Review and vet responses for accuracy, completeness, and adherence to policy. • Track performance against defined metrics like single reply closures and response time SLAs. 2. Law Enforcement Agencies (LEA) Complaint Handling • Implement and maintain a robust mechanism for handling LEA requests and advisories. • Maintain a complete database of all LEA complaints with detailed records. • Ensure all responses are timely, accurate, and compliant with legal requirements. 3. Customer Experience & Grievance Redressal Oversight • Organize and conduct regular meetings of the Customer Grievance Redressal Committee. • Collaborate with internal stakeholders to ensure seamless complaint resolution across departments. 4. Credit Bureau Liaison • Handle communication with Credit Bureaus for consumer grievance redressal. • Monitor and resolve disputes while maintaining proper documentation and follow-up. What are we looking for in you? • Bachelors degree in Law or related field; BCom, BBA, MBA professional certifications preferred. • 35 years of experience in a Compliance, Customer Services handling RBI Ombudsman Complaints • NBFC and Banks. • Knowledge of RBI regulations with respect to grievance redressal mechanisms and very good understanding of the Financial Industry and Customer Services Framework. • Excellent communication, stakeholder management, and documentation skills. What’s in it for you? • Set your career on an exponential growth path with a start up. • Learning and growth!

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If youre also able to align our data products with our business goals, wed like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities Responsible for overseeing the data scientists team and data specialists Teach, lead, and counsel colleagues on new techniques or solutions Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the companys ecosystem Responsible for the conception, planning, and prioritizing of data projects Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques Ensure that data projects align with organizational goals Minimum Qualification Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field 3+ years of experience solving analytical problems using quantitative approaches Experience communicating quantitative analysis results Knowledge with relational databases and SQL Development experience in any scripting language (PHP, Python, Perl, etc.) Knowledge of statistics (e.g., hypothesis testing, regressions) Experience manipulating data sets through statistical software (ex. R, SAS) or other methods Technical Skills - Must have Programming – Python (Preferred) / R ML Models – i. Regression – Linear, Logistic, Multinomial, Mixed effect Classification – Bagging & Boosting (Random Forest), Decision tree, SVM Clustering – K-Means, hierarchical, DB-Scan Time series – ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM Neural Networks (Deep learning), Naive Bayes Excel and SQL Dimensionality Reduction – PCA, SVD etc. Optimization Techniques – Linear programming, Gradient Descent, Genetic Algorithm Cloud – Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud Good to have – Visualization – Tableau / Power BI / Looker / QlikView Data management – HDFS, Spark, Advanced Excel Agile Tools – Azure DevOps, JIRA Pyspark Big Data/Hive Database IDE: Pycharm

Job Overview: The Manager Training is responsible for overseeing the training and development programs for employees the company. This role involves designing, implementing, and evaluating training programs to enhance employee performance and support the company's operational goals. The Manager Training works closely with various departments to identify training needs and ensure that all training initiatives align with the company's objectives. Key Responsibilities: Training Program Development: Design and develop comprehensive training programs that address the needs of employees at different levels. Create training materials, manuals, and other documentation required for effective training delivery. Incorporate various training methods (e.g., workshops, e-learning, on-the-job training) to accommodate different learning styles. Training Delivery: Conduct training sessions for new hires and existing employees. Coordinate with subject matter experts to deliver specialized training. Needs Assessment: Collaborate with department heads to identify training needs and skill gaps. Conduct regular assessments to determine the effectiveness of current training programs. Develop and implement strategies to address identified training needs. Evaluation and Reporting: Monitor and evaluate the effectiveness of training programs through assessments, surveys, and feedback. Analyze training data and generate reports to measure training outcomes and impact on performance. Make data-driven recommendations for continuous improvement of training programs. Team Management: Lead and mentor a team of Process Trainers Provide guidance and support to ensure the team's professional growth and development. Manage the training department's budget and resources effectively. Compliance and Standards: Ensure all training programs comply with industry standards and regulatory requirements. Maintain up-to-date knowledge of best practices in training and development within the industry. Implement quality assurance measures to maintain high training standards. Qualifications: Bachelor's degree in Human Resources, Education, Business Administration, or a related field. Minimum of 5 years of experience in training and development, preferably within a similar environment. Proven experience in designing and implementing effective training programs. Strong leadership and team management skills. Excellent communication and presentation skills. Ability to analyze data and generate actionable insights. Key Competencies: Strategic Thinking: Ability to align training initiatives with business goals. Problem-Solving: Skilled in identifying issues and developing effective solutions. Adaptability: Flexible in adapting to changing business needs and learning environments. Interpersonal Skills: Ability to build relationships and work collaboratively with various stakeholders. Detail-Oriented: Attention to detail in planning, executing, and evaluating training programs. Role & responsibilities

Qualifications/Requirements: 4+ years of hands-on software development experience in Java/J2EE technologies. Good Understanding of Design Patterns, Data Structures & Algorithms. Strong hands on experience with Java8 or above, Spring Framework, Kafka, Docker, Kubernetes, Web socket and redis etc. Strong hands on experience in architecture and developing applications based on Micro services architecture. Knowledge of Multi-Thread programming, Servlet programming, Server Client communication module. Proficient and hands on with Application Servers (Tomcat or JBoss) . Good knowledge of relational databases, specifically MySQL or PostgreSQL. Experience with working on Agile Software development methodology. Good knowledge and experience with CI / CD tools would be an advantage. Excellent oral and written communication skills, problem-solving and analytical skills. Must be able to succeed with minimal resources and supervision. Must-Haves - AWS cloud infrastructure.

About the Role We're looking for a proactive and detail-oriented Retention Marketing Specialist to lead customer lifecycle engagement strategies and enhance retention through targeted, data-driven marketing. This role focuses on multi-channel executionincluding WhatsApp, email, SMS, push notifications, and in-app communicationswith a strong emphasis on campaign automation, performance analysis, and personalized customer journeys and product understanding. Key Responsibilities Develop and execute app and web-based retention campaigns across WhatsApp, email, SMS/RCS, push notifications, and in-app channels. Plan, manage, and optimize full-funnel customer engagement campaigns with a focus on user retention and reactivation. Build, deploy, and analyze communication campaigns, ensuring high deliverability and compliance with platform-specific guidelines. Design end-to-end WhatsApp journeys and chatbot flows tailored to specific customer segments. Develop dynamic and interactive content and creatives that align with compliance requirements and brand guidelines. Setup, manage, and optimize automated journeys using platforms such as CleverTap or MoEngage. Requirements 25 years of experience in digital marketing, with a focus on retention, CRM, or remarketing. Proven expertise in WhatsApp, email, SMS, push notifications, and in-app messaging. Practical experience using CleverTap, MoEngage, or similar retention marketing platforms. Familiarity with communication platforms like GupShup, mTalkz, hello.ai, etc. Strong analytical and data interpretation skills, including knowledge of retention and performance metrics.

Position Summary The ideal candidate will play a key role in setting up and managing our credit & Fraud risk management frameworks and strategies. They will oversee a team responsible for developing, implementing, and refining risk management rules and collection strategies to support our digital lending initiatives. This position requires strong analytical, strategic, and technical skills, as well as a deep understanding of risk management in the lending domain, specifically within NBFCs, banks, or fintech organizations. Key Responsibilities Lead, mentor, and manage a team of analysts and data scientists focused on credit risk, fraud detection, and collection strategies. Design and implement credit risk management rules and models for digital lending, ensuring robust credit risk assessment. Define risk segmentation strategies and establish differential pricing models for varying risk profiles to support profitable growth Conduct portfolio analysis to monitor and control exposure across various lending products, ensuring adherence to risk appetite limit Develop and implement fraud detection and prevention strategies using advanced analytics and machine learning techniques Create robust fraud risk management policies, incorporating rule-based and behavioral analytics to identify potential fraud patterns. Define and implement data-driven collection strategies to optimize recovery and minimize losses • Develop scorecards and segmentation models to prioritize collections efforts, customizing approaches for different customer segments. Collaborate with operations and customer service teams to ensure effective deployment of collection strategies. Use advanced analytics to continuously monitor collections performance, adjusting strategies to maximize recovery rates Develop and maintain Python-based models and scripts to automate risk and fraud analytics processes. Work closely with product, compliance, technology, and operations teams to ensure credit and fraud risk strategies align with business objectives and regulatory requirements. Collaborate with external partners and vendors, as needed, to enhance risk management capabilities. Ensure compliance with regulatory standards and best practices in risk management, credit underwriting, and collections. Core Skills & Experience Masters or Postgraduate degree in Finance, Economics, Statistics, Data Science, or a related field. Minimum of 10 years in credit risk, fraud risk management, or collections strategy within the lending industry (NBFCs, banks, fintechs), with significant experience in digital lending. Proficiency in Python for data analysis, model development, and automation of risk strategies. Familiarity with data visualization tools (e.g., Tableau, Power BI) and statistical tools (e.g., R, SAS) is a plus. In-depth understanding of credit and fraud risk management frameworks, digital lending processes, and industry best practices. Strong quantitative and analytical skills, with a demonstrated ability to interpret complex data and translate findings into actionable strategies. Excellent written and verbal communication skills to effectively present insights and strategies to technical and non-technical stakeholders. Proven experience managing and motivating a high-performing team, with a collaborative approach to cross-functional work.

ROLES AND RESPONSIBILITIES: Manage internal audits with team of business processes and support functions Ensure timely completion of the audits per the Annual Internal Audit Plan. Review all stages of the audit life cycle and ensure adequacy of risk coverage in audits Provide timely coaching and feedback on areas of improvement Evaluate and review critical processes to identify design and operating exceptions/ findings Communicate exceptions/ findings accurately and timely to the reporting manager. Work with team to confirm factual accuracy of exceptions/ findings Track exceptions/ findings to closure Track progress per the plan and provide periodic status report to reporting manager Identify cost savings and/or automation opportunities REQUIRED SKILLS/EXPERIENCE: CA- Semi Qualified / B.Com / MBA with good internal audit experience/financial audit experience of at least 2-3 years. Knowledge of Internal Controls, Operations Audit, Statutory Compliance, Solutions focused, meticulous and result oriented professional by commended performance and proven results. Experience with industry standards and frameworks such as COSO, data analytic tools etc. Strong technical, analytical, interpersonal communication and management experience.

Role & responsibilities Quality Function - •Develop and implement a unified strategy integrating quality with training, process migration, develop plans to meet the training and development needs of the organization through internal and external training. Develop organizational assessment methods and measurement systems to ensure quality benchmarks are met. Participates in design of call monitoring formats and quality standards. Performs call monitoring and provides trend data to site management team. •Create a structured review mechanism for effective departmental reviews per the audit calendar and report progress. •Establish and implement necessary communication strategy for improvement and awareness of quality issues across all departments. •Provide leadership for the quality department, driving continuous improvement of the overall program resulting in improved funnel, quality, and accuracy of customer interactions by identifying trends and trouble spots, capturing the voice of the customer, and recommending appropriate actions based on data •Manage the functions and work towards enhancement of the function and team members. •Recruit, mentor and develop team members and nurture an environment where they can excel through encouragement and empowerment. •Understanding process needs and requirements to develop & maintain effective quality control processes •Plan, direct or coordinate new quality assurance programs and formulate quality control policies improving efficiency •Drive Process improvements •Tackle problems in creative and logical ways and brainstorm solutions. Create effective working relationships with key stakeholders by logical process enhancement suggestions along with data-driven. Must be self-motivator and self-starter. Focus on quality and customer service. Exceptional listening and analytical skills. Solid time management skills. Must be able to effectively deal with people at all levels inside and outside of the Company. •Responsible for process/product compliance and internal risk. Required to Formulate compliance and non-compliance processes as per policies and requirements. Uses quality monitoring data management system to compile and track performance at team and individual level. Performs monitors of customer care email responses. Preferred candidate profile Looking for a competent candidate with good experience in Quality domain and minimum 1-2 years of experience as AM along with excellent English, Hindi & Telugu communication skills.

Position Summary We are seeking a highly motivated and experienced Course content & Design specialist to join our growing team. This onsite role will be pivotal in developing engaging and effective learning materials for Indian competitive exams such as CAT, Banking Exams, Railway Exams, and others. The ideal candidate possesses a strong understanding of the Indian competitive exam landscape, excellent content creation skills, and the ability to leverage AI tools to enhance the learning experience. Key Responsibilities Content creation & curation Develop comprehensive course content, including study materials, practice questions, mock tests, and video scripts, specifically tailored for Indian competitive exams (CAT, Banking, Railways, etc.) Conduct thorough research and analysis of exam patterns, syllabus, and previous years & papers. Adapt and refine existing content based on student feedback and performance data. Instructional design & AI integration. Apply instructional design principles to create engaging and effective learning experiences. Utilize AI tools for content generation, question creation, personalized learning paths, and other relevant applications. Design interactive learning activities, simulations, and assessments. Develop clear learning objectives and measurable outcomes for each course module. Course development & management Manage the end-to-end course development process, from concept to final delivery. Ensure timely completion of projects and adherence to quality standards. Maintain organized documentation of course content and design decisions. Market Research & Analysis Stay up-to-date with the latest trends and changes in the Indian competitive exam landscape. Analyze competitor offerings and identify opportunities for differentiation. Gather feedback from students and stakeholders to continuously improve course content and delivery. Core Skills & Experience Bachelor's or Master's degree in a relevant field (e.g., Education, English, Mathematics,or specific subject relevant to competitive exams). 3-6 years of experience in content creation and instructional design, specifically for Indian competitive exams (CAT, Banking, Railways, etc.). Proven track record of developing successful course materials and achieving positive learning outcomes. Strong understanding of the Indian competitive exam ecosystem and student needs. Excellent written and verbal communication skills in English and Hindi Proficiency in using AI tools for content creation and learning design Familiarity with LMS and other e-learning platforms Strong project management skills Whats in it for you? • Set your career on an exponential growth path with a start up. • Learning and growth!