2.0 - 7.0 years

2 - 6 Lacs

Nagpur, Maharashtra, India

On-site

Key Responsibilities: Develop and maintain business rules, scorecards, and decision flows using FICO Blaze Advisor . Translate business requirements into decision tables, trees, and rule flows within Blaze. Collaborate with risk and business teams to implement rule logic based on credit policies and compliance standards. Perform unit testing, integration testing, and support user acceptance testing (UAT). Optimize rules and maintain performance of Blaze deployments in production environments. Integrate Blaze Advisor with external systems via APIs, web services, or batch jobs. Maintain proper documentation of rules logic, rule versions, and technical specifications. Troubleshoot production issues related to Blaze logic or integration failures. Participate in code reviews and ensure adherence to software development best practices. Work in Agile/Scrum environments to deliver high-quality decisioning solutions on time. Required Skills and Qualifications: Bachelor's degree in Computer Science, Engineering, or related technical field. 38 years of experience in software development, with at least 25 years of hands-on experience in FICO Blaze Advisor . Proficient in Java , J2EE , XML , and SOAP/REST APIs . Strong understanding of decisioning systems , credit risk management , or loan origination platforms. Experience integrating Blaze with core banking systems , LOS , or fraud detection platforms . Good understanding of rule management concepts, versioning, and governance.

Posted 6 days ago

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Microsoft Power BI Live Connections

8.0 - 12.0 years

0 Lacs

chennai, tamil nadu

On-site

You should have a minimum of 8 years of experience as a Power BI Developer with at least 7 years to 12 years of total experience. Your role will involve hands-on experience in handling teams and clients. You should possess expert knowledge in using advanced calculations in MS Power BI Desktop, including DAX languages such as Aggregate, Date, Logical, String, and Table functions. Prior experience in connecting Power BI with both on-premise and cloud computing platforms is required. A deep understanding and the ability to utilize and explain various aspects of relational database design, multidimensional database design, OLTP, OLAP, KPIs, Scorecards, and Dashboards are essential for this role. You should have a very good understanding of Data Modeling Techniques for Analytical Data, including Facts, Dimensions, and Measures. Experience in data warehouse design, specifically dimensional modeling, and data mining will be beneficial for this position. Additionally, hands-on experience in SSIS, SSRS, and SSAS will be considered a plus.,

Posted 1 week ago

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Senior Data Analyst – Risk & Insurance Viaprom Technologies

3.0 - 6.0 years

12 - 15 Lacs

Mumbai

Work from Office

Job Overview: We are seeking an experienced Senior Data Analyst with 3-6 years of experience in Risk Modeling and Insurance Analytics. The ideal candidate should have hands-on expertise in SAS, SAS Viya, and SQL, along with a strong background in Life Insurance products and risk modeling. This is a full-time, office-based role in Mumbai, requiring close collaboration with cross-functional teams to develop risk models, deliver scorecards, and drive data-driven decision-making. Key Responsibilities: 1. Apply expertise in the Indian Insurance market to develop risk models and predictive analytics solutions. 2. Utilize SAS, SAS Viya, and SQL for data modeling, analysis, and reporting. 3. Develop and implement risk modeling strategies with measurable business impact. 4. Leverage deep knowledge of Life Insurance products and processes to design analytics solutions. 5. Manage and deliver analytics projects within deadlines while ensuring accuracy and quality. 6. Work on large datasets to identify key risk factors, customer behavior trends, and business insights. 7. Develop and implement scorecards, propensity models, and predictive analytics frameworks. 8.Collaborate with stakeholders to align analytics initiatives with business objectives. Desired Candidate Profile: a. Bachelors degree in Computer Science, Statistics, Mathematics, or related fields. b. 3-6 years of proven experience in data analytics, particularly in BFSI/Insurance domains. c. Strong expertise in SAS & SQL (mandatory); Python is a plus. d. Hands-on experience in risk modeling, scorecards, and propensity models. e. Advanced proficiency in Microsoft Excel for data analysis and reporting. f. Excellent problem-solving skills and attention to detail. g. Strong communication and stakeholder management abilities. h. Experience in handling large datasets and delivering high-quality analytics solutions. Preferred Skills: a. Experience in financial risk modeling, credit risk, or fraud analytics. b. Exposure to AI/ML techniques for insurance analytics is a plus. c. Knowledge of data visualization tools like Power BI or Tableau is advantageous.

Posted 2 months ago

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