We are seeking an experienced IS GRC lead to drive governance, risk management, and compliance initiatives in alignment with the regulatory landscape of the Indian Fintech sector. This role is responsible for leading the second line of defence in our security governance model. The candidate should have deep knowledge of RBI guidelines, IRDAI, CERT-IN, and other applicable Indian IT and cyber security regulations. The role will serve as a key interface between Information Security, Risk Management, and Business stakeholders to ensure effective policy implementation, regulatory compliance, and risk mitigation. Responsibilities Conduct IT risk assessments and drive risk remediation plans. Maintain and operate risk registers and track issues and exceptions across IT and security domains. Collaborate with Business Continuity and Disaster Recovery teams to ensure compliance with regulatory expectations. Design and lead the Vendor Risk Management (VRM) framework in compliance with RBI outsourcing guidelines and third-party risk management standards. Perform third-party/vendor risk assessments, due diligence, and periodic reviews, including for cloud and fintech partners. Monitor and report on vendor risks, concentration risk, exit strategies, and data handling practices. Develop, update, and maintain IS policies, standards, and procedures in line with regulatory frameworks and standards like ISO 27001 ISO 22301 ISO 20001 Establish IT GRC frameworks to monitor compliance and improve control effectiveness. Design and implement common internal control frameworks to support various standard requirements and other overlapping regulatory requirements. Drive the automation of compliance monitoring and evidence collection using GRC tools. Collaborate with IT and InfoSec teams to integrate compliance checks into CI/CD pipelines and cloud infrastructure. Develop dashboards and automated workflows for real-time compliance tracking and reporting. Requirements Bachelor's degree in information technology, Computer Science, or related field. Professional certifications such as CISA, CRISC, PCI DSS, ISO 27001 LA, or CISSP preferred. 8+ years of experience in GRC roles, preferably in fintech domain. In-depth knowledge of RBI regulations and cybersecurity regulations, and exposure to CERT-IN, DPDP, IRDAI, RBI CSF, etc. Strong understanding of cybersecurity governance, risk management frameworks (e. g., NIST RMF), and control libraries. Proven experience leading audits and managing regulatory engagements. Familiarity with GRC platforms (scrut, upguard, archer etc. ) This job was posted by Debapti Roy from mPokket. Show more Show less

Primary Responsibilities: ● Responsible for end to end architecture, high level design/ low level design of various systems and applications. ● Envision and develop the long-term architectural direction, with emphasis on platforms/ Product reusable components while adopting a nimble delivery process ● Lead the team in architecture and design best practices ● Promote and drive innovation in full-stack development, enhancing performance and scalability Required Skills: ● 10+ years of experience in designing and implementing microservices and data processing at scale ● Should have handled solution design in Fintech or Financial Services ● Should have played role of Senior Solution Architect or Chief Architect in mid-size to large size organization ● Should have handled roadmap and evolution of architecture ecosystem ● Must have hands on experience working with AWS and cloud based applications ● Excellent analytical and problem-solving skill Show more Show less

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 you’ll 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. Key Responsibilities Develop and execute PR strategies that enhance mPokket's brand reputation and drive positive media coverage. Build and nurture relationships with key media contacts, influencers, and stakeholders. Craft compelling press releases, media pitches, and thought leadership articles. Secure impactful media placements in top-tier publications and online platforms. Monitor media coverage and industry trends. Support PR events and campaigns. Requirements 3-4 years of experience in public relations, preferably with experience in fintech or financial services. A strong understanding of media relations and PR best practices. Excellent writing, communication, and interpersonal skills. Proven ability to secure media coverage and manage PR campaigns. A passion for storytelling and building strong relationships. Show more Show less

Objective: To fully monetize the publisher’s ad inventory by managing and optimizing Google Ad Manager (GAM), and by executing direct ad sales strategies to ensure 100% fill rate at the highest possible CPM. Key Responsibilities: 1. Google Ad Manager Operations Oversee the setup, maintenance, and optimization of ad units within Google Ad Manager. Monitor fill rates, CPMs, and overall ad performance across display, video, and mobile inventory. Troubleshoot ad delivery issues, latency, discrepancies, or underperformance. Implement A/B tests to optimize yield from different demand sources (AdSense, Ad Exchange, Header Bidding partners). Ensure compliance with ad policies and maintain quality standards. 2. Direct Ad Sales & Partnerships Identify, approach, and pitch potential advertisers and media buyers for direct ad placements. Develop rate cards and media kits tailored to different audience segments and inventory types. Negotiate rates, package deals, and custom ad solutions with advertisers to maximize CPM and revenue. Maintain relationships with advertising agencies, brands, and programmatic buyers. Manage contracts, billing, and reporting for direct deals. 3. Revenue Optimization Track and analyze all revenue streams (programmatic + direct) to identify growth opportunities. Optimize inventory allocation between programmatic and direct sales to balance fill rate and CPM. Work closely with editorial/content teams to align ad placements with audience engagement. 4. Reporting & Forecasting Generate detailed weekly/monthly reports on ad performance, revenue, and inventory utilization. Forecast inventory availability and revenue based on traffic trends and seasonality. Provide insights and recommendations to management on ad strategy and pricing models. Key Qualifications: Proven experience in Google Ad Manager (essential). Strong understanding of ad tech ecosystem including AdSense, AdX, programmatic, and header bidding. Demonstrated success in B2B sales, preferably in digital advertising or media. Strong analytical and Excel/reporting skills. Excellent communication and negotiation skills. Proactive, self-driven, and results-oriented mindset. Preferred Experience: 3+ years in ad operations and/or ad sales roles at a digital publisher, ad network, or media agency. Experience with yield management platforms (like Prebid, Amazon TAM, or similar). Familiarity with analytics platforms (Google Analytics, Looker Studio, etc.). Show more Show less

Responsibilities: ● To develop strategic as well as tactical brand assets and running seamless marketing communications operations to build mPokket as the most loved brand in the financial services space. ● Develop a deep consumer understanding through Qual/Quant research and champion customer's cause internally. ● Develop and grow all brand assets and content across all touchpoints: Advertising, Social, Web and App, On-Ground. ● Assisting and eventually growing to lead creative development process end to end with multiple agency partners and in-house design/content team. ● Developing tools, kits, content and collateral to create Customer Delight at every touch point in the consumer journey. ● Working closely with X-functional teams to ensure the tone of the brand is not compromised at any level. ● Conceptualizing Creative, Media and PR innovations to make mPokket a lovable and path breaking brand. Requirements: ● Bachelor's degree in Marketing, Communications, or a related field. ● Minimum of 5 years of experience in brand management or marketing, preferably within the fintech, BFSI, or NBFC industry ● Strong data analysis skills: Proficiency in using marketing analytics tools and Excel. Ability to interpret data, draw insights, and generate reports ● Deep understanding of the Gen Z audience: Knowledge of their online and offline behaviour, preferences, communication styles, and career aspirations ● Excellent written and verbal communication skills ● Strong understanding of marketing principles and best practices ● Passion for building brands and connecting with consumers and potential employees ● Understanding of employer branding principles and best practices Show more Show less

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 you’re 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 ● 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 Show more Show less

Role Overview: We’re looking for a results-driven Assistant Manager Marketing to lead our Google advertising (across Web & App), SEO & ASO strategies, and website performance optimization. This role will play a critical part in driving both paid and organic user growth, enhancing discoverability, improving user experience, and increasing conversions across our digital assets. The ideal candidate is equal parts strategic thinker and hands-on executor, with deep knowledge in performance marketing, search optimization, and mobile growth. Key Responsibilities: Google Campaigns (Web & App): Strategize, execute, and optimize Google Ads campaigns across UAC,P-Max,Search&TROAS) Manage cross-platform ad strategies to acquire high-intent users for both website and mobile apps. Define audience segments, manage bids & budgets, and run creative testing to improve engagement and ROI. Collaborate with creative, product, and data teams to deliver performance-focused campaigns. SEO (Search Engine Optimization): Own and evolve the SEO roadmap to improve organic rankings, traffic, and search visibility. Conduct technical, on-page, and off-page SEO audits and manage implementation with content/dev teams. Develop content strategies aligned with keyword opportunities, user intent, and business objectives. Track key metrics using tools like Google Search Console, SEMrush, Ahrefs, or Screaming Frog. Hands on experience with CMS/Web Hosting Platforms. ASO (App Store Optimization): Lead ASO strategies for Google Play Store to increase app visibility and installs. Optimize app titles, descriptions, keywords, screenshots, and videos based on performance insights. Run A/B testing using tools like Store Listing Experiments or third-party ASO platforms (e.g., AppTweak, SensorTower). Monitor store ranking trends, reviews, and competitor performance. Required Skills & Experience: 4 years+ of experience in digital marketing, with proven results in Google Ads, SEO, ASO, and website performance. Deep knowledge of both web and app acquisition strategies. Hands-on experience with ad platforms (Google Ads, Firebase/GA4, App Campaigns), SEO tools (Ahrefs, SEMrush), and ASO platforms. Strong analytical mindset with experience translating data into strategy. Solid understanding of web technologies, mobile user acquisition, and performance measurement. Excellent communication, collaboration, and project management skills. Website Management. Preferred Qualifications: Google Ads and Google Analytics certifications. Experience with Firebase, Appsflyer, or other MMPs. SEO & ASO Tools Play Console Google Admob & Adsense

Responsibilities Conduct challenging tech-engineering duties for all teams. Design, implement, and test complex, multi-tier distributed software application frameworks collaboratively with peers and technical leaders. Create designs to improve the efficiency, availability, scalability, flexibility, functionality, security, and usability of our systems and components. Within the department, establish benchmarks, standards, techniques, and other mechanisms for defining, measuring, and optimizing non-functional requirements. Experience in Microservice architecture, and container orchestration (Kubernetes, Docker, etc. ). Create examples, frameworks, standards, guidebooks, or other tooling that enhances the ability of all members of a team, organization, or domain to work consistently. Select, design, and/or remediate technology platforms to be resilient to changes in business rules, utilization loads, and/or technology environments, while maintaining short-term focus and delivering concrete business results. Architecting, designing, and executing migration strategies from existing experiences and services to new infrastructure. Project planning and estimating effort for the different phases. Ability to find and help fix performance, scalability, and other live issues in a very time-critical environment. Requirements 10+ years of Overall Experience with a Bachelor's degree/Master's Degree in computer science or other related fields with strong fundamentals in algorithms, data structures, data modeling, and OOP. 4+ years of experience in planning, architecting, designing, developing, and delivering software related to platforms at scale. Proficient in Java/J2EE/REST technologies and frameworks like Spring, Spring MVC, JPA, and Hibernate. Experience in databases such as MYSQL and any of the NOSQL. Containers Orchestration (Kubernetes, Docker etc., ) Experience with Messaging Queues like Kafka or RabbitMQ. Experience with system design and tech stack upgrade to build highly available, secure, maintainable, performing, and scalable applications. Has a good understanding of software architecture, scalable data-intensive architecture, and how to work in a team effectively. Knowledge of machine learning topics relevant to Fintech and operationalizing the end-to-end stack will be a plus. Possesses excellent communication, sharp analytical abilities with proven design skills, and the ability to think critically of the current system in terms of growth and stability Extensive experience in Finance-related technology. This job was posted by Srimanti Chatterjee from mPokket.

Responsibilities  Strategic HR Partnership o Act as a strategic advisor to business leaders, aligning HR strategies with business objectives. o Provide insights and recommendations on workforce planning, succession planning, and organizational structure. o Drive a culture of performance, innovation, and continuous improvement.  Performance Management System (PMS) o Lead the design, implementation, and execution of the Performance Management System. o Partner with managers to set KPIs, conduct performance reviews, and create development plans. o Drive performance-based reward and recognition programs. o Analyze PMS data to identify trends and areas for improvement. o Collaborate with hiring managers to develop workforce plans and recruitment strategies. o Support talent retention, career development, and leadership programs. o Drive employee capability enhancement through training and skill development programs.  Employee Relations & Compliance o Serve as a trusted advisor to employees and managers on HR-related matters. o Handle employee grievances, conflict resolution, and disciplinary actions while ensuring compliance with labor laws. o Foster a positive and inclusive work environment.  Compensation & Benefits o Work closely with HR leadership to develop competitive compensation structures. o Ensure alignment with industry benchmarks and internal pay equity. o Drive employee benefits programs that enhance employee well-being.  HR Analytics & Reporting o Analyze HR metrics such as attrition, engagement scores, and performance data to drive strategic decisions. o Present HR dashboards and reports to leadership for continuous improvement. What are we looking for in you? • Bachelor’s/Master’s degree in Human Resources, Business Administration, or related field. • Minimum 8 years of HR experience, with at least 5years in an HRBP role. • Strong expertise in Performance Management, Talent Management, and Employee Engagement. • Proven experience in HR policy development, compliance, and labor laws. • Hands-on experience in HRIS systems and data-driven decision-making. • Excellent communication, negotiation, and stakeholder management skills. • Ability to work in fast-paced, high-growth environments.

We are looking for a meticulous and analytical Senior Associate to join our Payroll team. This role requires hands-on experience in payroll processing, benefits administration, compensation analytics, and HR reporting. You will collaborate with cross-functional teams to ensure accuracy, compliance, and timely execution of all payroll processes. Key responsibilities; Manage the payroll processes, ensuring accuracy and compliance with all relevant statutory and regulatory requirements Maintain and update HR databases and trackers (headcount, attrition, leave, etc.). Generate and analyze monthly dashboards and reports Maintain payroll documentation and support internal/external audits Stay updated on labor laws and ensure statutory compliance and reporting Manage employee benefits including insurance, wellness programs, leave, and reimbursements. Liaise with vendors and partners for benefits enrolment, renewal, and issue resolution. Educate employees about benefits and resolve related queries Ensure accurate data updates and maintenance in HRIS platforms Qualifications & Experience Bachelor’s degree in Commerce, HR, or related field 3–5 years of experience in payroll, C&B, or HR operations. Sound knowledge of Indian payroll and statutory laws. Advanced Excel skills; knowledge of HRIS systems is a plus Key Skills Attention to detail and numerical accuracy Strong analytical and reporting capabilities Confidentiality and integrity in handling sensitive data Ability to manage multiple stakeholders and meet deadlines Problem-solving and vendor management Immediate joiners preferred.

Responsibilities User-Centred Design: Conduct user research, create user personas, and design wireframes, storyboards, sitemaps, and screen flows. Prototyping and Testing: Develop prototypes that clearly illustrate how sites function and look. Test and iterate designs based on feedback. Collaboration: Work closely with developers, product managers, and other team members to ensure a cohesive design language and user experience across all product touchpoints. Brand Consistency: Ensure consistency in visual elements and define behavior that aligns with the company's brand guidelines. Stay Updated: Keep abreast of competitor products and industry trends. Requirements 3-6 years in UI/UX design, particularly in fintech B2C products. Education: Bachelor's degree in Design, Computer Science, or a related field. Graduate of any related course. Portfolio: A strong portfolio demonstrating a good understanding of UI/UX and first principles thinking and skills in creating user-centric designs. Proficiency in design software like Adobe Creative Suite, Sketch, Figma, etc. Strong understanding of responsive design and mobile-first principles. Experience with user research and usability testing. Excellent communication, presentation, and interpersonal skills. Ability to work in a fast-paced, deadline-driven environment. This job was posted by Harish Kumar Reddy Andluru from mPokket.

Role Objective: 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. Key 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. Qualifications & Skills:  Bachelor’s degree in Law or related field; BCom, BBA, MBA professional certifications preferred.  3–5 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.

We are seeking an experienced and visionary Manager of UI/UX to lead our design team and shape the user experience of our flagship mobile application. The ideal candidate will combine strategic thinking with hands-on design skills to create intuitive, engaging, and efficient user interfaces that drive customer satisfaction and business growth. Responsibilities Lead and mentored a team of UI/UX designers, fostering a culture of creativity, innovation, and user-centric design. Develop and implement the overall UI/UX strategy for mPokket's mobile application and other digital products. Collaborate with product managers, developers, and other stakeholders to translate business requirements into elegant design solutions. Conduct user research, create user personas, and develop user journey maps to inform design decisions. Oversee the creation of wireframes, prototypes, and high-fidelity designs for new features and improvements. Establish and maintain design systems, style guides, and best practices to ensure consistency across all products. Analyze user feedback and metrics to continuously improve the user experience. Stay up-to-date with the latest UI/UX trends, technologies, and best practices in the fintech industry. Requirements Bachelor's or Master's degree in Design, Human-Computer Interaction, or a related field. 8+ years of experience in UI/UX design, with at least 3 years in a leadership role. Proven track record of designing successful mobile applications, preferably in the fintech or financial services sector. Strong portfolio demonstrating your design process, problem-solving skills, and final products. Expertise in design tools such as Figma, Sketch, Adobe XD, or similar. Excellent understanding of user-centered design principles, information architecture, and interaction design. Strong analytical and problem-solving skills, with the ability to translate data into design decisions. Excellent communication and presentation skills, with the ability to articulate design decisions to both technical and non-technical audiences. Experience with Agile/Scrum methodologies. Knowledge of frontend development technologies (HTML, CSS, JavaScript). Familiarity with design for accessibility and inclusive design principles. Experience with animation and motion design. Understanding of the Indian financial services landscape and regulations. This job was posted by Aikya Chakraborty from mPokket.

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall. 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.

We are looking for a Data Scientist to help us gain useful insight from raw data. Data scientists' 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 you're 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. 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 the 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. Requirements 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 of relational databases and SQL. Development experience in any scripting language (PHP, Python, Perl, etc. ). Knowledge of statistics (e. g., hypothesis testing, regression). Experience manipulating data sets through statistical software (ex., R, SAS) or other methods. Must Have Programming - Python (Preferred) / R. ML Models - i. Regression - Linear, Logistic, Multinomial, Mixed effect. Classification - Bagging and 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 an ML pipeline in the 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. This job was posted by Debapti Roy from mPokket.

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  Master’s 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.

Responsibilities As a Data Analytics, you will work with our Credit and Analytics Team & key stakeholders to leverage our data to drive operational efficiencies and provide key data-driven insights. • Performing descriptive, predictive and prescriptive analytics • Generating actionable insights through analysis of key metrics across functions • Identifying the root cause through deep analysis of data to reach a point where actionable solutions can be designed • Devising mechanisms for control, performance monitoring, and reporting to internal stakeholders • Assist in investigating and drafting cost / benefit analysis and business requirements showcasing potential solutions for business initiatives • Working cross-functionally with business teams to ensure development and implementation of programs as per requirements & timelines Requirements • Bachelor's degree in Business, Engineering or a related field • 3-5 years of professional experience in consulting, analytics, business analysis or comparable consumer analytics position • Experience in developing requirements and formulating business metrics for reporting, familiarity with data visualization tools, e.g. Tableau, PowerBI, Quicksight, Google Data Studio] • Advanced working knowledge of data mining using SQL, ETL, data warehouse as well as Excel. • Programming languages: Python, R • Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams • Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills • Ability to deal with ambiguity and competing objectives in a fast paced environment • Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner Preferred Qualifications • Advanced technical or business degree (MS or MBA) • Familiarity to Hadoop Mapreduce, Hive, Spark • Experience of leading/developing ML-AI models in production.

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 you’re 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. Minimum Qualification ● Bachelor/ Master degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field ● 3+ years of experience solving analytical problems using quantitative approaches Technical Skills - Must have – ● Experience with Databricks and MLflow. ● Experience deploying machine learning models in production environments. ● Expertise in data structures, algorithms, core object-oriented programming (OOP) concepts and software engineering principles. ● Ability to develop and implement strategies for monitoring model performance, accuracy, and overall health. ● Proficiency in developing and maintaining RESTful APIs using Python frameworks (e.g., Flask, Django). ● Strong ability to write database queries (SQL and NoSQL). ● Excellent problem-solving and troubleshooting skills in Python. ● Familiarity with Python libraries such as Pyspark, Pandas, scikit-learn, SQLAlchemy, and Requests. Good to have – ● Expertise in Kafka Streaming and Batch processing ● Familiarity with version control systems (e.g., Git) and CI/CD practices ● Experience with Python multiprocessing and worker/queue systems. ● Understanding of event-driven or asynchronous programming, or at least a high-level understanding.

As a Data Scientist at mPokket, you will play a crucial role in deriving valuable insights from raw data to drive business decisions and improve our products. You will collaborate with the data science team, plan projects, and develop analytics models. Your problem-solving skills and expertise in statistical analysis will be key in aligning our data products with our business objectives. Your responsibilities will include overseeing the data scientists team, guiding colleagues on new techniques, and working closely with data and software engineers to deploy scalable technologies. You will lead the conception, planning, and prioritization of data projects, build analytic systems and predictive models, and explore new techniques to enhance our data capabilities. Ensuring that data projects are in line with our organizational goals will be a critical aspect of your role. The minimum qualifications for this position include a Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or a related technical field, along with at least 6 years of experience in solving analytical problems using quantitative approaches. Proficiency in communicating quantitative analysis results, knowledge of relational databases, SQL, and development experience in scripting languages such as Python, PHP, or Perl are required. You should also have expertise in statistics, experience with statistical software like R or SAS, and a strong technical skill set. Key Technical Skills Required: - Programming: Python (Preferred) / R - ML Models: Regression (Linear, Logistic, Multinomial, Mixed effect), Classification (Bagging & Boosting, Decision tree, SVM), Clustering (K-Means, hierarchical, DB-Scan), Time series (ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS, UCM), Neural Networks, 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 on the cloud Additional Skills (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 If you are a proactive and talented individual with a passion for data science and a desire to contribute to a rapidly growing fintech startup, we would love to have you join us on this exciting journey at mPokket.,

As a Data Scientist at mPokket, you will be an integral part of our rapidly growing fintech startup in the lending domain. We specialize in offering micro loans to college students and young professionals through our mobile app, with over 11 million loans disbursed. As a profitable organization backed by a US based private equity firm, we are now poised to scale our business 10x-20x in the upcoming years. If you are an ambitious individual with a passion for working with raw data to derive meaningful insights, we invite you to join us on this incredible journey. Your primary responsibility will be to collaborate with the data science team to plan and execute projects aimed at building advanced analytics models. You should possess a strong problem-solving ability, a flair for statistical analysis, and the capability to align data products with our business objectives. By leveraging data effectively, your role will contribute towards enhancing our products and driving informed business decisions. Key Responsibilities: - Supervise the data scientists team and data specialists to ensure seamless project execution - Mentor and guide colleagues on innovative techniques and solutions - Work closely with data and software engineers to implement scalable technologies across the organizational ecosystem - Conceptualize, plan, and prioritize data projects in alignment with business goals - Develop analytic systems, predictive models, and explore new methodologies to enhance performance - Ensure that all data projects are in sync with the overall organizational objectives Minimum Qualifications: - Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or a related technical field - Over 6 years of experience in solving analytical problems using quantitative approaches - Proficient in communicating quantitative analysis results effectively - Familiarity with relational databases, SQL, and scripting languages like Python, PHP, or Perl - Knowledge of statistics including hypothesis testing and regressions - Experience in manipulating data sets using statistical software like R, SAS, or other similar tools Technical Skills: Must have: - Programming: Python (Preferred) / R - ML Models: Regression (Linear, Logistic, Multinomial, Mixed effect), Classification (Random Forest, Decision tree, SVM), Clustering (K-Means, hierarchical, DB-Scan), Time series (ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS, UCM), Neural Networks, 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 on 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,