Jobs at CheQ (India)

Manage legal and regulatory operations across payments, UPI, credit cards, and lending products. Responsibilities include contract and vendor compliance, litigation coordination, legal notices and court responses, credit and lending compliance framework design, co-branded card operational setup, reporting oversight, risk assessment, and cross-functional team leadership. The role requires expertise in RBI regulations, FEMA, NPCI and UPI frameworks, card network rules, judicial matters, data privacy, and fintech or banking compliance.

Own monthly, quarterly, and annual book closures, account reconciliations, MIS reporting, and GL accuracy. Coordinate statutory and internal audits, prepare financial statements and disclosures, support investor and lender due diligence, and manage GST, TDS, advance tax, and income tax compliance. The role requires collaboration with product, technology, operations, legal, compliance, and secretarial teams in a high-volume fintech environment.

Own Android architecture and technical direction across modular applications. Lead API contract discussions, code reviews, security practices, roadmap initiatives, and platform migrations. Mentor engineers and establish standards for maintainable, testable code. Build and scale production Android applications using Kotlin and Jetpack Compose, integrate REST services, evaluate libraries, and improve performance metrics including startup time, memory, frame rate, and ANRs.

Build and own end-to-end AI and machine learning services, integrate trained ML and GenAI models into applications, and collaborate across teams on complex initiatives. The role requires developing AI/ML/LLM modules, working with Python frameworks and data stores, maintaining CI/CD pipelines, implementing event-driven architectures, and applying expertise in LLMs, vector databases, embeddings, prompt and context engineering, and cloud services.

Architects, develops, tests, deploys, monitors, and maintains end-to-end AI/ML services. Owns complete modules and features, integrates trained ML and GenAI models, collaborates across teams, and aligns technical roadmaps with target architecture. The role requires strong Python, ML frameworks, LLM, vector database, prompt engineering, cloud, data store, CI/CD, and event-driven architecture experience.

Own lending product roadmaps across application, eligibility, disbursal, repayment, and collections. Translate RBI regulations, KYC, and risk requirements into product specifications; partner with engineering, design, compliance, credit, and lending institutions to launch features. Analyze funnels, cohorts, and conversion metrics, run A/B tests, improve user experiences, manage partner relationships, and present product insights to leadership.