Founded in 2006, Fintellix's vision is to be the partner of choice providing compliance, risk and analytics solutions to banks. We work exclusively with banks across geographies, enabling them to derive value from data. Fintellix has worked extensively with banks in India and Middle East helping them automate regulatory reporting submissions. Infact, Fintellix is the market leader for RBI (Indian Central Bank) ADF (Automated Data Flow) reporting in India.

At Fintellix, our only focus is Compliance, Risk & Analytics Solutions for Banking industry. Fintellix solves business problems in the Banking space completely & comprehensively by bringing the right mix of Products, Solution frameworks & Consulting. By adopting an integrated and holistic view to solving problems while providing flexibility & modularity, Fintellix is able to extract business value hidden in data across & beyond the Banking enterprise.

Fintellix’s solutions leverage the latest in Analytics, Data Sciences & Information Management technology embedding Big Data, Mobility & Cloud capabilities. Fintellix understands Banking & Banking data deeply and with a solution-oriented team of data scientists & banking technologists that is highly flexible, it ensures that working with Fintellix is a delightful experience.

Fintellix Solutions, a part of Argus Information and Advisory services, extends Argus’s expertise in the development of Enterprise Data Platforms and Solutions as well as expanding Argus’s reach into India, Asia, and the Middle East. Argus Information and Advisory Services is a Verisk Analytics Company (NASDAQ: VRSK) and the leading provider of analytics, information and solutions to banks and their regulators. Argus helps its clients maximize the value of data and analytics to allocate and align resources to strategic objectives, manage and mitigate risk (default, fraud, funding, and compliance), and optimize financial objectives.

The acquisition of Fintellix positions Argus to expand data hosting and regulatory platforms and better address the increasingly complex needs of clients. Solutions are available for on-premises implementations as well as provisioning from Regional Cloud Infrastructure delivered by teams located in New York, San Francisco, Sao Paulo, London, Singapore, Dubai, Sydney, Mumbai & Melbourne as well as our Global Delivery Centre in Bangalore.

Candidates will apply business analysis to create advanced business intelligence solutions providing insight to clients. This role requires the candidate to use analytic tools and database skills to develop and evaluate a broad spectrum of analytics for large data sets.

Your responsibilities may include loading client data, validating client data, processing client data and producing Business Intelligence reporting on client data. You will work with leading Database Technologies and Data Warehousing toolkits to master the complex nuances in financial data received at Argus. Some of the technologies that you will use are SQL Server, SQL server Reporting Services (SSRS), SQL Server Integration Services (SSIS), Visual Basic .Net , ASP, .NET, Python, Amazon Web Services etc.

Responsibilities

•       Gather, Transform, Validate, aggregate and report on client data.

•       Analyze data to systematically apply in-house developed, complex analysis technology to test the data quality and create benchmark solutions.

•       Work directly with clients and other financial institutions to resolve critical issues in data quality

•       Work directly with client modelling teams to gather requirements based on clients’ need.

•       Analyze large amounts of trended client and industry data, identify red flags and perform root cause analysis.

•       Manipulate large amounts of (historical data), scrub, filter and select sample criteria for analysis

•       Produce and validate benchmarks based on clients’ specifications.

•       Enhance and improve the in-house technology suite for validating and reporting on new data.

•       Create documentation to define business needs.

•       Meet all operational SLAs to deliver high quality data in a timely and consistent manner

•       Develop data driven exploratory analysis to solve defined problems

• Bachelor’s or Master’s degree in
  • Engineering (all disciplines)
  • Computer Science / Computer Engineering
  • Mathematics / Statistics / Sciences
  • Finance / Economics
• 2-4 years of experience in data analysis using SQL Server/SSIS/SSRS
• A track record of outstanding academic performance
• Strong analytical, creative and interpersonal skills. 
• Demonstrated problem solving and root cause analysis skills
• Ability to work creatively and analytically in a problem-solving environment
• Eagerness to contribute in a team-oriented environment
• Effective communication (written and oral)
• Familiarity with SQL, AWS and/ or Python or other programing/data mining language is desired

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html