Job Responsibilities Design, develop, and deploy machine learning based models for credit risk and related use cases. Present model outcomes and recommendations to internal and external stakeholders. Establish a regular cadence of client engagement including roadmap planning, updates, and reporting. Establish model monitoring, back-testing, and performance tracking frameworks. Work closely with internal teams including Client Engagement, Engineering and Product to ensure smooth integration and : 4+ years of experience in data science and machine learning with prior experience in credit risk model development. Strong proficiency in Python for data analysis and model development. Sound knowledge of supervised and unsupervised machine learning techniques. Strong communication and presentation skills - ability to explain complex models to stakeholders. Experience managing client relationships or working in a consulting environment Bachelor/masters degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science, Mathematics). (ref:hirist.tech)

Job Description Experienced Java developer with over 2-3 years of hands-on experience in designing, developing, and maintaining Java-based applications. Skilled in full-stack development, with expertise in Java EE, Spring Framework, Hibernate, front-end technologies and strong knowledge in RDBMS. Adept at collaborating with cross-functional teams to deliver high-quality software solutions that meet business requirements and exceed expectations. Technical Skills Programming Languages : Java, JavaScript, HTML, CSS Frameworks and Libraries : Spring Framework (Spring Boot, Spring MVC, Spring Data), Hibernate, AngularJS, ReactJS Database Systems : MySQL, PostgreSQL, MongoDB Tools and Technologies : Maven, Gradle, Git, Jenkins, Docker, Kubernetes, AWS Development Methodologies : Agile, Scrum Scrum/Agile development management including providing regular updates during Scrum meetings. (ref:hirist.tech)

Responsibilities Design, develop, and maintain interactive dashboards and reports in Tableau to support business needs. Optimize Tableau dashboards for performance, scalability, and usability. Develop complex calculations, parameters, LOD expressions, and custom visualizations in Tableau. Work closely with business analysts, data engineers, and stakeholders to translate business requirements into meaningful visual analytics. Create and maintain data models, data blending, and relationships within Tableau. Implement governance and security protocols for Tableau Cloud /Server environments. Provide training and support to business users on self-service analytics using You Are : 8+ years of experience in Tableau development and BI reporting. Strong proficiency in SQL (writing complex queries, stored procedures, performance tuning) Experience working with databases such as SQL Server, Snowflake, Redshift, BigQuery, etc. Strong understanding of data warehousing, dimensional modeling, and ETL processes Experience with Tableau Cloud/Server administration (publishing, security, permissions). Knowledge of data visualization best practices and UX/UI Qualifications : Tableau Desktop & Server Certification (e.g., Tableau Certified Data Analyst, Tableau Desktop Specialist). (ref:hirist.tech)