About the Role: The Manager of IT Operations is responsible for planning, coordinating, and supervising all activities related to the organization's IT infrastructure. This includes managing the IT support team, ensuring the availability and performance of systems, and implementing and maintaining security measures. Some high level things you would own but not limited to: 1. Team Leadership: Lead and mentor a team of IT professionals, including system administrators, network engineers, and support staff. Foster a collaborative and efficient work environment within the IT Operations team. 2. Infrastructure Management: Oversee the planning, implementation, and maintenance of the organization's IT infrastructure. Ensure the availability, reliability, and performance of servers, networks, and other critical systems. 3. Security Management: Implement and manage security measures to protect the organization's IT assets and data. Stay updated on the latest cybersecurity threats and technologies, and develop strategies to mitigate risks. 4. IT Support: Coordinate IT support services, ensuring timely and effective resolution of issues. Develop and maintain IT policies and procedures to streamline support processes. 5. Vendor Management: Collaborate with external vendors for IT services and solutions. Negotiate contracts, manage relationships, and ensure service level agreements are met. 6. Budgeting and Planning: Develop and manage the IT Operations budget. Contribute to the strategic planning process, aligning IT initiatives with organizational goals. 7. Disaster Recovery and Business Continuity: Develop and maintain a robust disaster recovery and business continuity plan. Conduct regular testing to ensure the effectiveness of these plans. What you would possess already: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree is a plus. 6-7 years or more of experience in IT operations, with a proven track record of leadership and team Experience in implementing and managing security measures. In-depth knowledge of IT infrastructure, including servers, networks, and storage systems. Familiarity with cybersecurity best practices and tools. Strong leadership and team management skills. Excellent communication and interpersonal skills. Ability to collaborate with cross-functional teams. Relevant certifications such as ITIL, CISSP, or PMP are a plus.

Roles and Responsibilities: • Design, develop, and deploy machine learning models to solve real-world business problems. • Develop production-quality machine learning pipelines and frameworks using Python and Java. • Collaborate with data scientists, engineers, and business teams to define data requirements, model specifications, and system architecture. • Preprocess and clean large datasets, perform feature engineering, and ensure data quality for ML applications. • Implement, optimize, and deploy algorithms, ensuring scalability and performance in production systems. • Work with cloud-based platforms (AWS, GCP, Azure) for deploying and scaling machine learning models. • Stay current with the latest machine learning research and trends, and propose innovative solutions and techniques. • Document processes, models, and code to ensure reproducibility, maintainability, and knowledge sharing. Required Skills & Qualifications: • 5-6 years of professional experience in software engineering, with at least 2-3 years of hands-on experience in machine learning and data science. • Proficiency in Python for machine learning, data analysis, and algorithm development. • Fair experience with Java, including the development of production-level applications and integration with ML models. • Familiarity with data preprocessing techniques, including feature extraction, cleaning, normalization, and transformation. • Strong experience with SQL and working with large datasets from databases and data lakes. • Proficiency in cloud platforms (AWS, GCP, or Azure) for deploying machine learning models and managing infrastructure. • Strong knowledge of version control systems like Git and experience with CI/CD pipelines for machine learning models. • Strong problem-solving and debugging skills. • Ability to work independently and in a collaborative team environment. • Excellent communication skills for technical documentation and presenting solutions to stakeholders. Desired Skills: • Familiarity with big data technologies such as Spark, or Kafka. • Experience with DevOps practices for automating ML workflows. • Experience in deploying ML models using Docker, Kubernetes, or similar containerization technologies.

About the Role At Lendingkart we are looking for individuals who will be assisting the Credit Risk Head & CRO in active portfolio management strategies, including collections strategy. Some high level things you would own but not limited to: 1. Undertaking data analytics of LKs credit portfolios and providing weekly, monthly and quarterly credit risk reporting over the health and composition of the book to the management. This involves collaborating with the internal data science, finance & other teams as may be required. 2. Identify more meaningful ways to analyze and present insights and highlight the risks in the credit portfolios, including early stress build up, EWS, triangulation with external data sources, if any. 3. Develop recommendations to adjust credit policies by utilizing statistical scoring, segmentation and simulation techniques. 4. Documentation of various monitoring reports, portfolio/policy changes with rationale and data. 5. Manage Risk Appetite metrics What you would possess already: 1. A minimum of 4-12 years of experience, in NBFCs & FinTechs in Credit Risk Analytics & Portfolio Management/Reporting. 2. Hands-on experience & ability to work as an individual contributor in carrying out statistical analysis using appropriate software and statistical programming languages e.g. Excel, SQL, Python, Power BI etc. 3. The ability to conduct complex risk analyses and provide senior management with business insights of portfolio quality and product and portfolio trends, and portfolio performance. 4. Strong communication skills (written and oral) . 5. Working experience in running projects within the Portfolio Management space which may include system changes, IFRS ECL implementation etc.

About the Role At Lendingkart we are looking for individuals who will be assisting the Credit Risk Head & CRO in active portfolio management strategies, including collections strategy. Some high level things you would own but not limited to: 1. Undertaking data analytics of LKs credit portfolios and providing weekly, monthly and quarterly credit risk reporting over the health and composition of the book to the management. This involves collaborating with the internal data science, finance & other teams as may be required. 2. Identify more meaningful ways to analyze and present insights and highlight the risks in the credit portfolios, including early stress build up, EWS, triangulation with external data sources, if any. 3. Develop recommendations to adjust credit policies by utilizing statistical scoring, segmentation and simulation techniques. 4. Documentation of various monitoring reports, portfolio/policy changes with rationale and data. 5. Manage Risk Appetite metrics What you would possess already: 1. A minimum of 8-10 years of experience, in NBFCs & FinTech’s in Credit Risk Analytics & Portfolio Management/Reporting. 2. Hands-on experience & ability to work as an individual contributor in carrying out statistical analysis using appropriate software and statistical programming languages e.g. Excel, SQL, Python, Power BI etc. 3. The ability to conduct complex risk analyses and provide senior management with business insights of portfolio quality and product and portfolio trends, and portfolio performance. 4. Strong communication skills (written and oral) . 5. Working experience in running projects within the Portfolio Management space which may include system changes, IFRS ECL implementation etc.

#Urgent Requirement Legal Officer/ Assistant Legal Manager in Lendingkart Finance Limited Location - Kolhapur Only Male Candidate (Has to travel for field work) Experience - Minimum 2-3 years of experience working in any reputed NBFC/Bank CTC- As per market standards Submit your resume on prafull.tipale@lendingkart.com WhatsApp - 9075760999 (No calls)

Company Description Lendingkart Group aims to make working capital finance readily accessible for entrepreneurs, enabling them to focus on their business rather than cash-flow gaps. Lendingkart Technologies Private Limited is a fintech startup specialized in the working capital space, utilizing big data analysis to assess borrower creditworthiness. Lendingkart Finance Limited, a non-deposit taking NBFC, provides SME lending in India, leveraging technology and analytics to transform small business lending. The company strives to make credit easily accessible for SMEs through rapid and accurate creditworthiness assessments. Role Description This is a full-time on-site role for a Salesperson, located in Ahmedabad. The Salesperson will be responsible for identifying and acquiring new clients, maintaining relationships with existing clients, presenting Lendingkart's financial products and services, and achieving sales targets. Daily tasks include conducting market research to identify sales opportunities, following up on leads, negotiating contracts, and providing customer feedback to the product team. Qualifications Excellent Communication and Interpersonal skills Proven experience in Sales and Account Management Strong understanding of financial products and services Market Research and Analytical skills Ability to achieve sales targets and meet deadlines Experience in the fintech or financial services industry is a plus Bachelor's degree in Business, Marketing, Finance, or related field