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)
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python)
Job Responsibilities: Own the design, development, and maintenance input mapper and rollup logic for credit bureau, core banking, internal datasets and any additional data sources in the future Ensure accuracy, performance, and compliance through rigorous QC frameworks and automated validation tools. Collaborate with credit risk, product, engineering, and integration teams to deploy and support model and strategy features in production environments. Analyse complex datasets and derive accurate business logic in alignment with credit policy and model requirements. Lead and mentor a team of data scientists and analysts, ensuring adherence to best practices in software engineering and data science. Contribute to data governance, documentation, and version control of the CDM and associated tooling. Requirements: 5+ years of experience in Data Science/Data Engineering/Analytics Strong Python skills – ability to writing clean, testable, modular, and production- grade code. Experience in credit risk, fintech, or financial services domains. Experience working on US credit bureau data Prior experience managing or mentoring technical teams. Strong communication skills and the ability to work cross-functionally with engineers, product managers, and stakeholders. Bachelor’s / master’s degree in a quantitative discipline (e.g. Engineering, Computer Science, Mathematics).
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 Tableau. Requirements You Are 2+ 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)