As a Credit Scoring Model Developer, you will play a crucial role in the team by developing and maintaining credit scoring models to assess the creditworthiness of loan applicants. Your responsibilities will include leveraging statistical techniques and machine learning algorithms to build accurate and robust models. Key Responsibilities: - Develop and maintain credit scoring models using statistical techniques and machine learning algorithms. - Perform data analysis and feature engineering to enhance model performance. - Validate and monitor the performance of credit scoring models. - Collaborate with other teams to integrate credit scoring models into loan origination systems. - Stay updated on the latest advancements in credit scoring and machine learning techniques. - Document model development and maintenance processes. Qualifications Required: - Master's degree in a quantitative field such as Statistics, Mathematics, or Computer Science. - Experience in developing and implementing credit scoring models. - Proficiency in statistical software such as R or Python. - Strong understanding of machine learning algorithms. - Excellent analytical and problem-solving skills. In addition to the above, the company offers a competitive salary and benefits package, opportunities for career growth and development, exposure to cutting-edge technologies in credit risk management, a collaborative and innovative work environment, and comprehensive health and wellness benefits. In a typical day as a Credit Scoring Model Developer, you will work with large datasets, build and test credit scoring models, and collaborate with stakeholders to ensure their successful implementation and use. As a Credit Scoring Model Developer, you will play a crucial role in the team by developing and maintaining credit scoring models to assess the creditworthiness of loan applicants. Your responsibilities will include leveraging statistical techniques and machine learning algorithms to build accurate and robust models. Key Responsibilities: - Develop and maintain credit scoring models using statistical techniques and machine learning algorithms. - Perform data analysis and feature engineering to enhance model performance. - Validate and monitor the performance of credit scoring models. - Collaborate with other teams to integrate credit scoring models into loan origination systems. - Stay updated on the latest advancements in credit scoring and machine learning techniques. - Document model development and maintenance processes. Qualifications Required: - Master's degree in a quantitative field such as Statistics, Mathematics, or Computer Science. - Experience in developing and implementing credit scoring models. - Proficiency in statistical software such as R or Python. - Strong understanding of machine learning algorithms. - Excellent analytical and problem-solving skills. In addition to the above, the company offers a competitive salary and benefits package, opportunities for career growth and development, exposure to cutting-edge technologies in credit risk management, a collaborative and innovative work environment, and comprehensive health and wellness benefits. In a typical day as a Credit Scoring Model Developer, you will work with large datasets, build and test credit scoring models, and collaborate with stakeholders to ensure their successful implementation and use.

Manage collection (O to N) for assigned territory, lead a team, manage collection agencies, drive recoveries, ensure data accuracy & optimize collection strategies for 70-80cr PL/Digital PL portfolio for assigned region. Notice not more than 60 Days Required Candidate profile Ideal canddiate is someone with 10+ yrs exp in (PL/Digital PL), 7+ yrs team handling (X to N bkt), min 50-60cr portfolio. Must've managed collection agencies & have excellent data mgmt skills. Perks and benefits Attractive incentives

Strengthen Operational delivery to maximize Agency business/ Customer acquisition. Deliver Growth through revenue retention and generation initiatives Collaborate with Branch Operations Team to generate Customer Leads.

As a Business Development Manager, your role will involve driving business by acquiring new customers in the allocated region with a focus on improving affordable reach. You will be responsible for nurturing relationships with all sourcing partners including Connectors, Referral Partners, and DSA. Additionally, you will be tasked with enhancing business by increasing market share of affordable mortgages and deepening penetration in various geographies. Ensuring high levels of engagement for effective pre and post customer service will be a key part of your responsibilities. You will also be in charge of the smooth processing of files using available digital methods, controlling NPA and collections/overdue cases, and maintaining portfolio health by following the lend-to-collect culture diligently up to the last mile. Moreover, you will liaise with and manage various vendors such as legal, technical, collection, FI, and RCU vendors. Qualifications Required: - Post Graduate preferred - 3-5 years of relevant work experience - Prior experience in channel management for Prime product Please note that additional details about the company were not provided in the job description. As a Business Development Manager, your role will involve driving business by acquiring new customers in the allocated region with a focus on improving affordable reach. You will be responsible for nurturing relationships with all sourcing partners including Connectors, Referral Partners, and DSA. Additionally, you will be tasked with enhancing business by increasing market share of affordable mortgages and deepening penetration in various geographies. Ensuring high levels of engagement for effective pre and post customer service will be a key part of your responsibilities. You will also be in charge of the smooth processing of files using available digital methods, controlling NPA and collections/overdue cases, and maintaining portfolio health by following the lend-to-collect culture diligently up to the last mile. Moreover, you will liaise with and manage various vendors such as legal, technical, collection, FI, and RCU vendors. Qualifications Required: - Post Graduate preferred - 3-5 years of relevant work experience - Prior experience in channel management for Prime product Please note that additional details about the company were not provided in the job description.

As a Customer Service Manager at our company, you will play a crucial role in leading our customer service team to ensure exceptional service and strong customer relationships. Your responsibilities will include: - Managing and overseeing the daily operations of the customer service department. - Developing and implementing strategies to enhance customer service experience and increase satisfaction. - Setting clear team goals and motivating team members to achieve them. - Recruiting, mentoring, and developing customer service agents to excel through encouragement and empowerment. - Maintaining an orderly workflow based on priorities. - Monitoring and improving customer service KPIs such as response times, satisfaction scores, and productivity metrics. - Handling escalated customer complaints and ensuring timely resolutions. - Establishing and maintaining effective relationships with key stakeholders. - Analyzing data to enhance customer service outputs and identify areas for improvement. To excel in this role, you should possess: - Excellent knowledge of management methods and techniques. - Proficiency in CRM systems and MS Office. - Strong leadership and interpersonal skills. - Exceptional problem-solving abilities and decision-making skills under pressure. - Outstanding communication and negotiation skills. - A customer-oriented mindset with a dedication to delivering excellent service. - A Bachelor's degree in Business Administration or a related field is preferred. Join our team and be a part of our commitment to providing top-notch customer service! As a Customer Service Manager at our company, you will play a crucial role in leading our customer service team to ensure exceptional service and strong customer relationships. Your responsibilities will include: - Managing and overseeing the daily operations of the customer service department. - Developing and implementing strategies to enhance customer service experience and increase satisfaction. - Setting clear team goals and motivating team members to achieve them. - Recruiting, mentoring, and developing customer service agents to excel through encouragement and empowerment. - Maintaining an orderly workflow based on priorities. - Monitoring and improving customer service KPIs such as response times, satisfaction scores, and productivity metrics. - Handling escalated customer complaints and ensuring timely resolutions. - Establishing and maintaining effective relationships with key stakeholders. - Analyzing data to enhance customer service outputs and identify areas for improvement. To excel in this role, you should possess: - Excellent knowledge of management methods and techniques. - Proficiency in CRM systems and MS Office. - Strong leadership and interpersonal skills. - Exceptional problem-solving abilities and decision-making skills under pressure. - Outstanding communication and negotiation skills. - A customer-oriented mindset with a dedication to delivering excellent service. - A Bachelor's degree in Business Administration or a related field is preferred. Join our team and be a part of our commitment to providing top-notch customer service!

As a credit risk modeler at our company, your role will involve developing and maintaining statistical models for credit risk assessment. You will play a crucial part in utilizing advanced statistical techniques to predict credit risk, enhance model accuracy, and contribute to informed decision-making. Key Responsibilities: - Develop, validate, and implement statistical models to predict credit risk. - Analyze large datasets of financial information to identify patterns and trends. - Monitor the performance of models and make necessary adjustments. - Collaborate with other risk management professionals to enhance credit risk management. - Stay abreast of the latest advancements in credit risk modeling techniques. - Effectively communicate model results and recommendations to stakeholders. Qualifications Required: - Master's degree in statistics, mathematics, or a related field. - 2-4 years of experience in credit risk modeling. - Proficiency in programming with R or Python. - Expertise in statistical modeling techniques such as logistic regression and survival analysis. - Experience working with large datasets and utilizing data mining techniques. - Strong communication and presentation skills. In addition to the engaging responsibilities and qualifications outlined above, our company offers a range of benefits, including a competitive salary and benefits package, opportunities for career progression, a challenging yet rewarding work environment, a focus on innovation, and professional development opportunities. Overall, a typical day in your life at our company would involve working with large datasets, constructing and validating statistical models, collaborating with cross-functional teams, and presenting your findings and insights to key stakeholders. As a credit risk modeler at our company, your role will involve developing and maintaining statistical models for credit risk assessment. You will play a crucial part in utilizing advanced statistical techniques to predict credit risk, enhance model accuracy, and contribute to informed decision-making. Key Responsibilities: - Develop, validate, and implement statistical models to predict credit risk. - Analyze large datasets of financial information to identify patterns and trends. - Monitor the performance of models and make necessary adjustments. - Collaborate with other risk management professionals to enhance credit risk management. - Stay abreast of the latest advancements in credit risk modeling techniques. - Effectively communicate model results and recommendations to stakeholders. Qualifications Required: - Master's degree in statistics, mathematics, or a related field. - 2-4 years of experience in credit risk modeling. - Proficiency in programming with R or Python. - Expertise in statistical modeling techniques such as logistic regression and survival analysis. - Experience working with large datasets and utilizing data mining techniques. - Strong communication and presentation skills. In addition to the engaging responsibilities and qualifications outlined above, our company offers a range of benefits, including a competitive salary and benefits package, opportunities for career progression, a challenging yet rewarding work environment, a focus on innovation, and professional development opportunities. Overall, a typical day in your life at our company would involve working with large datasets, constructing and validating statistical models, collaborating with cross-functional teams, and presenting your findings and insights to key stakeholders.

Roles and Responsibilities :- Allocation of portfolio to vendor basis the past performance trend and FOS availability, creating adequate manpower capacity for the portfolio. Review cases with FOS / TL and work assignment basis the disposition code. Coordinating with agency resources and doing the call planning for better resolution, ensuring appropriate support to the agency on difficult cases. Receipt book & Repo kits allocation and auditing periodically Agency billing closure within 60 days of the work completed month. Ensuring prior approvals in repo cases & helping the agency manage repo related issues. Handling collection/repo related customer service issues/escalations. Coordinating with legal team for initiating legal actions against chronic defaulters & dealing with enforcement agencies in cases filed against the organisation by customers/third parties. BKT resolution with agency and FOs level need to be tracked & reviewed. Flow rates to next BKT needs to be restricted on the location you are handling. Remove the non-performing FOs and recruitment the fresh team and train as and when required. CRM queries needs to be closed as per the TAT assigned. RCU audit queries must be reverted before TAT and implementation of committed action at field level. Receipt book discrepancies needs to be discussed with agency and ensure no reoccurrence of such issues in field. HHT 100% utilization and report to be submitted to ACM / RCM on regular basis. HHT not working need to be informed to IT team for need of support. Candidate Profile Required Minimum 2-3 Years of collection experience in any automotive products like LMV,TW,3W,LCV,MCV,HCV Experience in managing collection agencies Excellent data management skills Individual Performer

As a Cluster Branch Manager, you will be responsible for overseeing the financial performance of the relationship banking channel across assigned branches. Your primary focus will be driving revenue growth and ensuring exceptional customer service. Your role will involve leading teams to achieve sales targets, identifying new business opportunities, and maintaining a strong financial performance to ultimately maximize revenue and customer satisfaction. Key Responsibilities: - Fully responsible for the Cluster Branches P & L - revenue & cost. - Managing a Profit Centre with profitability as the key result area, including acquisition of net worth accounts, enhancing NII income, generating revenue from transaction fees, and promoting third-party products. - Ensuring compliance with all regulatory and auditory requirements. - Setting up branches from their nascent stages and increasing the book size manifold. - Concentrated focus on all product lines and offerings of the bank. - Enhancing the value proposition of the bank with high net worth clientele. - Implementing industry best practices to enhance the customer base. - Strengthening and expanding the customer value chain. - Improving the employee value proposition for the teams worked with. - Consistently driving and achieving challenging targets set by the bank. - Managing the entire gamut of business in alignment with growing organizational needs. Qualifications Required: - Minimum 10 to 12 years of overall experience in Branch Relationship Management within the Banking Industry. - Team handling experience is a must. - Strong experience in managing and handling Super and Ultra HNI/HNW clients. In addition to the above, it is essential to have a strong background in financial management, team leadership, and a deep understanding of the banking industry to excel in this role. As a Cluster Branch Manager, you will be responsible for overseeing the financial performance of the relationship banking channel across assigned branches. Your primary focus will be driving revenue growth and ensuring exceptional customer service. Your role will involve leading teams to achieve sales targets, identifying new business opportunities, and maintaining a strong financial performance to ultimately maximize revenue and customer satisfaction. Key Responsibilities: - Fully responsible for the Cluster Branches P & L - revenue & cost. - Managing a Profit Centre with profitability as the key result area, including acquisition of net worth accounts, enhancing NII income, generating revenue from transaction fees, and promoting third-party products. - Ensuring compliance with all regulatory and auditory requirements. - Setting up branches from their nascent stages and increasing the book size manifold. - Concentrated focus on all product lines and offerings of the bank. - Enhancing the value proposition of the bank with high net worth clientele. - Implementing industry best practices to enhance the customer base. - Strengthening and expanding the customer value chain. - Improving the employee value proposition for the teams worked with. - Consistently driving and achieving challenging targets set by the bank. - Managing the entire gamut of business in alignment with growing organizational needs. Qualifications Required: - Minimum 10 to 12 years of overall experience in Branch Relationship Management within the Banking Industry. - Team handling experience is a must. - Strong experience in managing and handling Super and Ultra HNI/HNW clients. In addition to the above, it is essential to have a strong background in financial management, team leadership, and a deep understanding of the banking industry to excel in this role.

Key Responsibilities Analyze large data sets to derive insights and identify opportunities for improving conversion, activation, and customer experience. Support in defining and refining product journeys for various lending and cross-sell programs. Collaborate with internal stakeholders to design, test, and implement data-driven initiatives to enhance business metrics. Work on product requirement documents (PRDs), dashboards, and process flows for key initiatives. Liaise with the Data Lake and Tech teams to ensure accurate data mapping, flow validation, and system integrations. Conduct deep-dive analysis to identify process gaps and recommend solutions for efficiency improvements. Partner with Risk and Operations teams to ensure regulatory and policy compliance across product journeys. Assist in defining success metrics, tracking performance, and preparing management reports, PPTs and dashboards. Continuously benchmark product performance and customer behavior to identify areas for innovation. Required Skills & Qualifications Bachelor's degree in Engineering (B.Tech preferred); MBA is an advantage. 36 years of experience in Product / Analytics roles in lending, fintech, or financial services. Strong proficiency in SQL, Excel; working knowledge of Python preferred. Strong analytical, problem-solving, and logical reasoning skills. Familiarity with NBFC/fintech lending business models, customer journeys, and digital onboarding processes. Excellent communication and stakeholder management skills. Ability to thrive in a fast-paced, cross-functional, and execution-driven environment. What We Offer Exposure to end-to-end product lifecycle management in a growing NBFC ecosystem. Opportunity to work at the intersection of data, product, and business growth. A dynamic environment that encourages innovation, collaboration, and continuous learning.