What You’ll Do ● Support business decision making by deriving actionable insights from structured and unstructured data ● Conduct end-to-end machine learning and data analytics activities, including data wrangling, feature engineering, building and evaluating ML models. ● Research and implement novel machine learning approaches to enable informed business decisions. ● Collaborate with business and engineering teams to analyze, extract, normalize, and label relevant data. ● Perform data engineering, feature engineering, data preprocessing to train and tune ML models ● Utilize BI tools to prepare reports, analyze and visualize data. ● Implement MLOps practices such as CI/CD and continuous training (CT) for deploying and maintaining ML models in production environments. Your Superpowers: ● Experience ○ 3 to 5 years of experience in data analytics and machine learning ○ Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas and NumPy. ○ Proficiency in writing production-quality code in Python, with a strong understanding of object-oriented programming principles ○ Proven experience in analyzing and working with large datasets ○ Hands on experience with various BI tools ○ Expertise in applying both supervised and unsupervised learning techniques 3 ● Expertise & Learning Agility ○ You are open to new ways of thinking and committed to acquiring new skills to retain a competitive advantage ○ You employ a thoughtful process of analyzing data and problem solving to reach well-reasoned solutions ● Strong collaboration, communication, and creative thinking skills Join Electrifi Show more Show less
What You’ll Do: We are seeking a highly skilled financial/business analyst to join our dynamic team. The ideal candidate will be responsible for analyzing complex business structures, building flexible and automated financial models, performing transaction cash flow analysis, and providing critical support to cross-functional teams. This role requires strong analytical skills, excel skills, attention to detail, and the ability to interact with clients to explain commercial aspects of transactions. 1. Financial Modeling: ○ Develop and maintain flexible and automated financial models tailored to various complex business structures ○ Develop organizational business plans, incorporating leadership team guidance, to support funding discussions with prospective venture capitalists and lenders ○ Continuously improve models to ensure accuracy and efficiency in financial reporting and analysis 2. Transaction Analysis: ○ Build detailed transaction cash flows, perform scenario analysis, and provide simplified summaries of financial data – for loan and operating lease products ○ Support decision-making by delivering clear, concise, and insightful financial analysis 3. Client Interaction & Support: ○ Engage with clients to explain the commercial aspects of transactions and resolve any queries ○ Act as a support point of contact for financial-related discussions and ensure smooth communication with stakeholders 4. Cross-functional Collaboration: ○ Provide financial insights and cross-functional support to ensure the seamless execution of transactions and disbursement processes and post execution activities ○ Collaborate with internal teams such as finance, legal, and operations to facilitate timely and accurate deliverables Qualifications/Skills: ● Experience: ○ 2-6 years of relevant experience ○ Knowledge of advance financial metrics and financial modeling in excel ○ Knowledge of Indian tax laws is a plus ○ Experience in corporate leasing/ corporate loan is a plus 2 ● Expertise & Learning Agility: ○ You are open to new ways of thinking and committed to acquiring new skills ○ You can work in a dynamic and unstructured environment because you are a self-starter who is eager to learn, grow and build something great together ○ You employ a thoughtful process of analyzing data and problem solving to reach well- reasoned solutions ○ You are conscientious with the consistency and quality of deliverables. You’re adept at prioritization and project management with attentiveness to detail and consistency. ● Strong collaboration, communication, and creative thinking skills. Show more Show less
Job Title: Financial Analyst Salaries: Market Standard + ESOPs Location: Gurgaon About Role : We are looking for a highly motivated finance professional with 2–4 years of experience who has been involved in at least one fundraise transaction (equity or debt). This role bridges internal teams and external lenders, with strong emphasis on pre- and post-disbursement processes, debt structuring, and financial compliance. Key Responsibilities: Must Haves: ● Hands-on experience or shadowing of at least one fund raise transaction (Equity/Debt). ● Strong understanding of debt capital raise process and debt structures (e.g., Term Loan, NCDs). ● Strong communication and presentation skills. ● Ability to independently manage meetings with lenders and internal stakeholders. Pre-Disbursement Requirements: ● Facilitate the completion of all due diligence and documentation required for loan disbursements. ● Ensure compliance with conditions precedent (CP) before fund disbursement. ● Assist in the preparation and review of financial models, projections, and loan application documents. ● Work closely with legal and finance teams to ensure smooth execution of loan agreements. Post-Disbursement Monitoring: ● Monitor and ensure adherence to financial covenants, reporting obligations, and repayment schedules. ● Track key loan terms, including interest rate adjustments, EMI payments, and any restructuring requirements. ● Prepare and submit periodic compliance reports and financial statements as per lender requirements. ● Identify potential covenant breaches and proactively work on remedial measures with lenders and internal teams. Internal Coordination. ● Day-to-day management with internal teams including Finance, Legal, Operations, and Compliance. ● Ensure alignment between lender needs and internal reporting. Qualifications & Skills: ● B.Com or MBA (in finance) qualification is mandatory. ● 2–4 years of experience in financial management or fundraising ● Strong grasp of loan documentation, regulatory compliance, and covenants ● Proficiency in Excel and financial modelling. ● Strong stakeholder management and multi-tasking ability ● Detail-oriented with the ability to manage multiple stakeholders and deadlines.
We are looking for a highly motivated finance professional with 2 to 4 years of experience who has been involved in at least one fundraise transaction (equity or debt). This role bridges internal teams and external lenders, with strong emphasis on pre- and post-disbursement processes, debt structuring, and financial compliance. Key responsibilities: Must Haves: Hands-on experience or shadowing of at least one fund raise transaction (Equity/Debt). Strong understanding of debt capital raise process and debt structures (e.g., Term Loan, NCDs). Strong communication and presentation skills. Ability to independently manage meetings with lenders and internal stakeholders . Pre-Disbursement Requirements: Facilitate the completion of all due diligence and documentation required for loan disbursements. Ensure compliance with conditions precedent (CP) before fund disbursement. Assist in the preparation and review of financial models, projections, and loan application documents. Work closely with legal and finance teams to ensure smooth execution of loan agreements. Post-Disbursement Monitoring: Monitor and ensure adherence to financial covenants, reporting obligations, and repayment schedules. Track key loan terms, including interest rate adjustments, EMI payments, and any restructuring requirements. Prepare and submit periodic compliance reports and financial statements as per lender requirements. Identify potential covenant breaches and proactively work on remedial measures with lenders and internal teams. Internal Coordination Day-to-day management with internal teams including Finance, Legal, Operations, and Compliance. Ensure alignment between lender needs and internal reporting. Qualifications & Skills: B.Com or MBA (in finance) qualification is mandatory. 2 to 4 years of experience in financial management or fundraising. Strong grasp of loan documentation, regulatory compliance, and covenants. Proficiency in Excel and financial modeling. Strong stakeholder management and multi-tasking ability. Detail-oriented with the ability to manage multiple stakeholders and deadlines.
Key Responsibilities: Serve as a legal support to internal teams, particularly those involved in lease operations, asset financing, and revenue-based financial products. Draft, review, negotiate, and finalize a wide range of commercial contracts including lease agreements, vendor contracts, service-level agreements, and term sheets across multiple transaction types including lease discounting arrangements. Develop and standardize legal documentation and processes for repeat leasing and finance arrangements, balancing commercial scalability with legal enforceability. Ensure compliance with all applicable corporate, commercial, financial, and data protection laws while supporting new initiatives. Support dispute resolution, enforcement action, and recovery strategies in coordination with internal recovery and compliance teams. Experience & Qualifications: 3-5 years of post-qualification experience, ideally with a mix of in-house corporate legal experience (preferably in leasing, fintech, NBFC, or structured finance environment) and law firm exposure. Proven track record in independently drafting contracts and negotiation. Working knowledge of financial structuring including but not limited to lease discounting, assignment of cash flows, and asset-backed monetization models. Working knowledge of applicable laws including the Indian Contract Act, Transfer of Property Act, Companies Act, and relevant RBI/NBFC regulations. Strong communication, stakeholder management, and organizational skills. Ability to manage multiple work streams and deliver under tight deadlines with accuracy and attention to detail.
City Lead - Sales & Operations - 3-Wheeler Business Unit We are seeking a dynamic and motivated Sales & Operations Leader to set up a new business from scratch. As the City Lead, the individual will be responsible to set up the city team from scratch, and manage a large team as the business scales, with an opportunity to grow into a central leadership role. The core responsibilities of the individual will be to build distribution, own the entire sales cycle, manage collections, repossession & redeployment, customer and partner experience. Key Responsibilities / What You'll Do: Distribution Network Development : Building an exhaustive distribution network of dealers, sub-dealers, DCO influencers and other EBIs (external business influencers), and managing the relationship and entire lead funnel. Sales Cycle Ownership : Own the entire lifecycle of Sales, from generating leads to disbursement, while managing an efficient sales funnel. Collections Management : Ensuring customer payments are always on track with the support of central and city teams. Repossession and Redeployment : In case of customer defaults, ensuring the vehicles are repossessed and redeployed at the earliest. NPS Management : Ensuring the best possible experience for customers and channel partners. Experience & Qualifications: A bachelor's degree from a reputed university, MBA is a plus (not mandatory) Work experience of 5+ years, across sales, distributor management functions in the automotive industry. Exposure to BFSI is preferred. Prior team handling experience is a mandatory requirement. Excellent communication, negotiation, and interpersonal skills. Prior work experience/ Native of Lucknow Proficiency in Microsoft Office Suite and CRM software.
We are seeking a dynamic and self-motivated Swiss Army Knife to set up a new business from scratch. As the Program Manager, the individual will act as a shadow to the business head, and will be involved across business functions, and in putting all pieces together to create the perfect puzzle. Primary responsibilities for the individual will be to manage all business data and share actionable insights for improvement. The role will involve equal time on the ground and behind the screen, owning business inputs as well as outputs. Responsibilities: ● Business Data Management : The resource will be responsible for complete business data management, from individual function charters to the P&L of the business, and drawing actionable insights out of it. ● Execution Ownership : The individual will own, on ground business execution with the business head including working on the field, and owning business outcomes. ● Crossfunctional Collaboration : The individual will act as a bridge between individual business functions and the leadership, working closely with every function and helping them solve problems with support from the management. ● Process Building and Productization : The individual will be responsible for creating SOP’s for the business and individual functions, and productize the business operations through internal tech/ third party SaaS Solutions ● New City Launches : The resource will play a key role in new city launches, acting as the city lead for on ground operations for the initial launch period. Qualifications: ● A bachelor's degree from a tier 1 university, and MBA from a reputed institution. ● Work experience of 1-5 years, across sales and program management. Experience from retail distribution/sales, BFSI will be preferred. ● Prior project management experience and high comfort with data dashboarding and analysis is a mandatory requirement. ● Excellent communication, negotiation, and interpersonal skills. ● High degree of ownership, ability to switch context and building new business skills quickly. ● Proficiency in Microsoft Office Suite and CRM software.
What You’ll Do ● Support business decision making by deriving actionable insights from structured and unstructured data ● Conduct end-to-end machine learning and data analytics activities, including data wrangling, feature engineering, building and evaluating ML models. ● Research and implement novel machine learning approaches to enable informed business decisions. ● Collaborate with business and engineering teams to analyze, extract, normalize, and label relevant data. ● Perform data engineering, feature engineering, data preprocessing to train and tune ML models ● Utilize BI tools to prepare reports, analyze and visualize data. ● Implement MLOps practices such as CI/CD and continuous training (CT) for deploying and maintaining ML models in production environments. Your Superpowers: ● Experience ○ 3 to 5 years of experience in data analytics and machine learning ○ Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas and NumPy. ○ Proficiency in writing production-quality code in Python, with a strong understanding of object-oriented programming principles ○ Proven experience in analyzing and working with large datasets ○ Hands on experience with various BI tools ○ Expertise in applying both supervised and unsupervised learning techniques 3 ● Expertise & Learning Agility ○ You are open to new ways of thinking and committed to acquiring new skills to retain a competitive advantage ○ You employ a thoughtful process of analyzing data and problem solving to reach well-reasoned solutions ● Strong collaboration, communication, and creative thinking skills
We are seeking a dynamic and self motivated Swiss Army Knife to set up a new business from scratch. As the Program Manager, the individual will act as a shadow to the business head, and will be involved across business functions, and in putting all pieces together to create the perfect puzzle. Primary responsibilities for the individual will be to manage all business data and share actionable insights for improvement. The role will involve equal time on the ground and behind the screen, owning business inputs as well as outputs. Responsibilities: Business Data Management : The resource will be responsible for complete business data management, from individual function charters to the P&L of the business, and drawing actionable insights out of it. Execution Ownership : The individual will own, on ground business execution with the business head including working on the field, and owning business outcomes. Crossfunctional Collaboration : The individual will act as a bridge between individual business functions and the leadership, working closely with every function and helping them solve problems with support from the management. Process Building and Productization : The individual will be responsible for creating SOPs for the business and individual functions, and productize the business operations through internal tech/ third party SaaS Solutions New City Launches : The resource will play a key role in new city launches, acting as the city lead for on ground operations for the initial launch period. Qualifications: A bachelor's degree from a tier 1 university, and MBA from a reputed institution. Work experience of 1-5 years, across sales and program management. Experience from retail distribution/sales, BFSI will be preferred. Prior project management experience and high comfort with data dashboarding and analysis is a mandatory requirement. Excellent communication, negotiation, and interpersonal skills. High degree of ownership, ability to switch context and building new business skills quickly. Proficiency in Microsoft Office Suite and CRM software.
Responsibilities: Customer Credit Underwriting : Perform comprehensive credit analysis of the customer and create a standardized credit report for management review and approval. Customer Background Verification Analysis : Analyzing customer field inspection done via inhouse teams/third party, verifying through tele-verification and creating final CAM (Credit Assessment Memo) for management review and approval. MIS and Portfolio Health Management : Creating regular MIS and portfolio health reports to monitor and actively find early warning signs, and constantly optimizing underwriting methods accordingly. Process Building and Automation : Building, automating and productizing credit processes, to reduce overall turn around time. Crossfunctional Collaboration : Working closely and supporting on ground sales & operations teams, and with other central teams. Customer NPS : Ensuring best possible experience for the end customer. Qualifications: A bachelor's degree from a reputed university, finance specific professional qualifications/certification is a plus. Work experience of 2+ years in retail credit underwriting is mandatory. Experience specific to loans in the automotive industry is a plus. Experience in creating MIS, Portfolio Management including reports is required. Ability to build, scale and improve processes and solve complex problems, working in a dynamic and agile environment. Excellent communication, and interpersonal skills. Proficiency in Microsoft Office Suite and CRM software.
What You’ll Do ● Support business decision making by deriving actionable insights from structured and unstructured data ● Conduct end-to-end machine learning and data analytics activities, including data wrangling, feature engineering, building and evaluating ML models. ● Research and implement novel machine learning approaches to enable informed business decisions. ● Collaborate with business and engineering teams to analyze, extract, normalize, and label relevant data. ● Perform data engineering, feature engineering, data preprocessing to train and tune ML models ● Utilize BI tools to prepare reports, analyze and visualize data. ● Implement MLOps practices such as CI/CD and continuous training (CT) for deploying and maintaining ML models in production environments. Your Superpowers: ● Experience ○ 3 to 5 years of experience in data analytics and machine learning ○ Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas and NumPy. ○ Proficiency in writing production-quality code in Python, with a strong understanding of object-oriented programming principles ○ Proven experience in analyzing and working with large datasets ○ Hands on experience with various BI tools ○ Expertise in applying both supervised and unsupervised learning techniques 3 ● Expertise & Learning Agility ○ You are open to new ways of thinking and committed to acquiring new skills to retain a competitive advantage ○ You employ a thoughtful process of analyzing data and problem solving to reach well-reasoned solutions ● Strong collaboration, communication, and creative thinking skills
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