Company Description Golden Legand Leasing & Finance Limited is a Bombay Stock Exchange listed company, currently involved in digital lending and FinTech software development. we boast ourselves as a modern technology company trying to find new solutions and provide FinTech based assistance to the ever-growing Indian middle class. Our company is currently researching, developing and is involved in complex technologies like Artificial Intelligence based financial solutions, AI based Switching and Routing Solutions for e-commerce and banks, cross border AI based switching solutions, global payment routing solutions. Role Description This is a full-time, on-site role located in the Mumbai Metropolitan Region for a Senior Java Software Engineer. The role will involve tasks related to software development, microservices, programming, and utilizing the Spring Framework and Java. Qualifications Software Development and Programming skills Experience with Microservices and the Spring Framework Proficiency in Java Bachelor's degree in Computer Science or related field Strong problem-solving and analytical skills Experience in the Fintech or Banking industry is a plus
About The Role We are building an independent AI team to power next-generation data-driven solutions for AashaPurti (Personal & Gold Loans) and India Online Pay (Payment Gateway). As a Data Engineer, you will play a key role in designing and implementing scalable data pipelines, data lakes, and ETL workflows to support AI models, real-time analytics, and BI dashboards. You will ensure high-quality, reliable, and secure data availability for credit scoring, fraud detection, and other fintech use cases. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data from multiple sources (loan management systems, payment gateways, transaction logs, external APIs like CIBIL). Build and manage data lakes and data warehouses for analytics and machine learning use cases. Optimize data ingestion and processing frameworks for real-time and batch workflows. Implement data quality, validation, and monitoring systems. Work closely with Data Scientists, AI Engineers, and BI teams to deliver high-quality datasets for model training and dashboards. Ensure data security and compliance with RBI guidelines, GDPR, and internal policies. Collaborate with MLOps engineers for model deployment pipelines. Troubleshoot data-related issues and optimize performance for scalability. Document data models, workflows, and processes. Required Skills & Qualifications Education : B.E/B.Tech/MCA/M.Sc. in Computer Science, Data Engineering, or related field. Experience : 36 years in Data Engineering roles (preferably in fintech, banking, or payment systems). Technical Skills Strong programming skills in Python (Pandas, PySpark) or Java/Scala. Proficient in SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra). Experience with big data technologies : Apache Spark, Hadoop, Kafka. Hands-on with ETL tools (Airflow, Prefect, Luigi). Familiarity with cloud platforms (AWS/GCP/Azure) and data services (S3, BigQuery, Redshift). Knowledge of data lake and warehouse design. Bonus Skills Experience with real-time streaming (Kafka, Kinesis). Exposure to MLOps and AI/ML data pipelines. Understanding of fintech data structures (KYC, transactions, credit scoring). Soft Skills Strong problem-solving and analytical skills. Ability to work in a fast-paced, agile environment. Excellent communication and documentation skills. Compliance & Security Awareness Familiarity with RBI guidelines, data localization, and data privacy regulations. Experience implementing data encryption and masking techniques. Why Join Us? Work on cutting-edge AI and analytics solutions in the fintech domain. Be part of a new AI innovation team with high visibility and impact. Opportunity to design data architecture from the ground up. Competitive compensation, flexible work culture, and growth opportunities (ref:hirist.tech)
About The Role We are seeking a Solution Architect to join our Mumbai-based engineering team and design the architecture for a global, multi-tenant payment platform integrating both traditional and crypto-based transaction capabilities. You will be responsible for designing robust distributed systems, scalable microservices, optimized databases, and cloud infrastructure, while ensuring seamless payment switch operations including cross-border and crypto payment flows. This is a hands-on architectural leadership role in a rapidly growing fintech environment, offering you the opportunity to shape the next generation of payments technology onsite in Mumbai. Key Responsibilities Lead and develop the end-to-end architecture for a multi-tenant, global payment platform supporting fiat and crypto transactions. Architect microservices and distributed database solutions for high-volume, real-time payment processing. Build, integrate, and enhance the payment switch and routing layer for cross-border and multi-currency transaction flow. Embed crypto payment gateways and blockchain settlement capabilities into the core payments system. Implement robust multi-tenancy frameworks for scalability, security, and efficient resource management. Design and maintain cloud-native infrastructure (AWS/Azure/GCP) and DevSecOps automation onsite. Collaborate with cross-functional engineering and compliance teams to ensure regulatory adherence (PCI?DSS, AML/KYC, FATF, crypto regulations). Establish monitoring, tracing, and resilience standards for all core systems. Required Skills & Qualifications 510 years of experience in solution/software architecture within payments or fintech domains. Practical experience with payment switch design, transaction routing, and settlement systems. Strong expertise in microservices architecture, distributed system design, and database modeling. Working knowledge of crypto payment flows, blockchain integrations, and digital asset security. Hands-on proficiency in cloud infrastructure (AWS, GCP, Azure) and IaC tools (Terraform, CDK, etc.). Deep understanding of multi-tenant architecture, security, and compliance. Excellent communication, analytical, and team collaboration skills. Willingness to work onsite full-time in Mumbai. Preferred Qualifications Experience with ISO 8583, ISO?20022, or real-time payment protocols. Background in crypto-to-fiat bridge architectures and blockchain integration projects. Exposure to payment gateway and orchestration system implementation. Relevant certifications (AWS Solution Architect, Blockchain Architect, etc.). What We Offer Onsite role in Mumbai shaping next-gen payment and crypto systems. Opportunity to work on global-scale projects with real impact. Fast-growing fintech environment with technical ownership. Competitive salary, benefits, and professional development. (ref:hirist.tech)
Job Title : Data Scientist / Machine Learning Engineer (Fraud Detection & Transaction Monitoring) Location : Mumbai, India (On-site) Experience : 4- 7 years Employment Type : Full-time About The Role We are looking for an experienced Data Scientist / Machine Learning Engineer to join our AI/ML team in Mumbai. The ideal candidate will have a strong background in building machine learning and deep learning models particularly in fraud detection, transaction monitoring, or risk analytics and will be responsible for the end-to-end model lifecycle, from data exploration to production deployment and monitoring. Key Responsibilities Design and develop ML/DL models for fraud detection, risk scoring, and transaction monitoring. Experiment with supervised, unsupervised, and semi-supervised learning techniques for anomaly detection. Manage data pre-processing, feature engineering, training, validation, deployment, and continuous improvement. Implement scalable and reproducible ML pipelines. Deploy and maintain models in production using MLOps frameworks such as MLflow, Kubeflow, Airflow, or AWS Sagemaker. Implement CI/CD for model updates and retraining. Partner with data engineering teams to build robust data pipelines, feature stores, and real-time scoring infrastructure. Build systems for automated model evaluation, drift detection, and performance reporting. Work closely with product, compliance, and risk teams to define fraud detection strategies and translate business needs into ML solutions. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch). Experience with fraud detection, transaction monitoring, or anomaly detection. Strong background in machine learning and deep learning architectures (RNN, LSTM, Transformer, GNN). Experience with MLOps tools MLflow, Kubeflow, Airflow, or AWS Sagemaker. Familiarity with data pipelines and distributed systems (Spark, Kafka, etc.). Experience deploying ML models on AWS / GCP / Azure environments. Soft Skills Analytical and structured problem-solving ability. Strong communication skills to collaborate with technical and business teams. Ability to work independently and drive results in a fast-paced environment. Preferred Experience Hands-on experience with real-time fraud detection or behavioral anomaly detection. Exposure to financial transactions, payment gateways, or card network ecosystems. Understanding of explainable AI (XAI) tools such as SHAP, LIME, or Captum. Familiarity with graph-based fraud detection approaches. What We Offer Opportunity to build next-generation fraud detection systems at scale. Collaborative and high-growth work environment. Competitive compensation and benefits. Chance to work on real-world AI/ML challenges in the fintech domain from our Mumbai on-site office. (ref:hirist.tech)