Jobs at Amartha

The Senior Data Analyst will provide insights and analytics to improve operational performance, monitor metrics, and support decision-making through data visibility and transparency.

Lead development and optimization of credit risk policies, monitor and analyze loan portfolio performance, collaborate with data and operations teams to balance growth and asset quality, propose risk mitigations, support credit forecasting and provisioning, and present actionable insights to senior management.

Manage the company's cash and investment portfolio, ensuring liquidity and optimal fund allocation while monitoring risks and providing investment insights.

The Senior Backend Engineer designs and develops scalable services and tools, improves code quality, and coordinates across teams to solve financial access problems.

Perform market and competitor research, build financial models and trackers, analyze P&L and performance drivers, create executive-ready slides and visualizations, and support senior leadership with ad hoc strategic analyses.

The Sales Performance Analyst enhances field acquisition performance through skill gap analysis, training framework design, incentive schemes, SOP development, and quality assurance, ensuring sustainable growth and effective execution.

Lead growth marketing strategies to drive user acquisition and engagement for digital products, overseeing campaign execution and collaboration across teams, using data-driven insights for performance improvements.

The Senior IT GRC and Data Privacy Analyst will develop and maintain GRC frameworks, ensure data privacy compliance, assess vendor practices, manage IAM systems, and stay updated on regulatory requirements.

Lead design and execution of talent strategy including succession planning, talent development, performance management, organizational design, competency frameworks, and training. Use analytics to measure impact, manage job descriptions and org structure, collaborate on performance cycles and engagement surveys, and develop financial literacy materials to support organizational goals.

The Head of Risk QA ensures effective risk management compliance through independent quality assurance, overseeing audits, reporting, and stakeholder collaboration.

The Fraud Risk Analyst will establish fraud detection frameworks, conduct fraud analytics, develop policies for digital products, collaborate on fraud detection algorithms, and improve fraud monitoring processes.

Lead and execute credit underwriting strategy, set standards and decision frameworks, monitor portfolio performance, develop policies and scorecards, drive analytics-driven underwriting, collaborate cross-functionally, provide senior management reporting, and mentor the underwriting team to improve credit quality and governance.

Oversee engineering teams, manage software development projects, ensure system performance, hire engineers, and implement innovative technologies for scalable solutions.

Design and develop services, maintain scalability, improve tools and processes, solve financial access problems using technology, and coordinate with cross-functional teams.

The Regional Auditor Senior Analyst will execute audits, analyze data, assess systems, and collaborate with teams to improve business processes and strengthen controls.

Lead fraud risk analytics initiatives by establishing frameworks, developing detection algorithms, and collaborating across teams to mitigate digital lending risks.

Manage financial records and month-/year-end closings for lending entities, perform reconciliations, support ECL/impairment and audit processes, prepare financial reports, and improve accounting controls and automation.

Design, productionize, and monitor ML models for credit scoring, underwriting, fraud detection, collections, and portfolio risk. Build features, address imbalance and drift, deploy and maintain pipelines, measure business impact, document models, and collaborate with engineering, risk, and product teams. Explore practical LLM and agentic-AI use cases.

Design, build, and operate high-performance Go backend services for underwriting, credit scoring, and loan decisioning. Integrate models, rule engines, and third-party data; ensure scalable, auditable, low-latency decision pipelines; improve reliability and observability; collaborate with ML, risk, product, and data teams; lead technical design, mentoring, and incident response.

Support accounting operations by recording transactions, reconciling accounts, preparing documentation for financial statements and audits, and collaborating with team members to ensure accurate, timely records.