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Partnerships Manager Alliances And Channels in India

212 active opportunities · Updated October 2026

Explore current partnerships manager alliances and channels jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.

PE
📍 Uttar Pradesh, India· Full-time
✓ Quality checked

CORPORATE DEVELOPMENT Job Purpose The Corporate Development team is responsible for driving the company's long-term growth and strategic evolution. As a Corporate Development , you will play a pivotal role in identifying, evaluating, and executing inorganic growth opportunities. This includes mergers and acquisitions (M&A), joint ventures, strategic alliances, divestitures, and corporate investments. You will act as a key connector between external market opportunities and internal executive leadership. Key Responsibilities 1. Strategy & Market Intelligence Collaborate with senior executives to define and refine the company’s inorganic growth roadmap.Conduct continuous macroeconomic, industry research to identify emerging trends, market disruptions, and potential targets. Tracking market developments, precedent transactions, and comparable companies. Maintain a robust, proactive pipeline of acquisition, investment, and partnership targets. 2. Deal Sourcing & Evaluation Build and maintain relationships with investment bankers, venture capital/private equity firms, and target company management teams. Perform initial screening of inbound and outbound deal opportunities against corporate strategic criteria. Develop high-quality strategic rationale and business cases for presentation to the C-suite and Board of Directors. 3. Due Diligence & Deal Execution Coordinating due diligence processes and managing data rooms (in live deals) Coordinate internal cross-functional teams (Legal, Finance, Tax, HR, Product, Operations) and external advisors during the due diligence process. Lead the project management of the transaction lifecycle from Letter of Intent (LOI) to definitive documentation and closing. 4. Integration & Post-Closing Support Partner with operational teams to design post-merger integration (PMI) playbooks. Ensure that projected financial and operational synergies are tracked and realized post-acquisition Role Requirements & Qualifications Educati

PE
📍 Uttar Pradesh, India· Full-time
✓ Quality checked

About Us Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases.aytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the role: Evangelize and demonstrate the value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. The Credit Risk Analyst will be responsible for monitoring , analysing and optimising lending portfolios across consumer / merchant lending products. This includes overseeing portfolio health , developing / refining risk strategies and supporting business growth through risk adjusted decision making. Key Responsibilities : - Portfolio Monitoring & Analytics - Risk Strategy & Policy Design - Stress Testing & Risk Containment - Loss forecasting & scenario planning - Product & Growth Partnership - Collections Interface / Strategy - Compliance & Bureau Management Requirements: - 5 to 8 yrs in portfolio risk management function in Fintech/ Banks/ NBFC - Hands on experience in SQL, Python, R, Pyspark - Good understanding of Bureau data, Alternate Data, Scorecards, Digital Lending API's etc - Ability to translate data into clear insights and recommendations - Familiarity with BI tools like Tableau, Looker , Metabase etc - Understanding of machine learning models in credit risk - Strong problem solving and stakeholder management skills

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