Job details
Country
USA
State / Region / Province
New Jersey, North Carolina
Work Location
Charlotte, NC, Jersey City, NJ
Domain
Consulting
Interest Group
Infosys Limited
Skills
Domain|Commercial Banking|Loan Origination
Company
ITL USA
Requisition ID
123064BR
Job description
Infosys is seeking a Loan IQ Business Analyst. As a Lead consultant, you will be a key player working closely within a data focused team predominantly responsible for migrating/converting data from legacy databases into our core application database. Part of this function involves ensuring as part of the data migration that data quality, integrity and completeness is maintained or improved and that duplicate entities are consolidated. You will create detailed design, architecture and process artifacts and implement the deployment plan. You will also support knowledge transfer with the objective of providing value-adding consulting solutions that enable our clients to meet the changing needs of the global landscape.
Location for this position is Charlotte, NC/Jersey City, NJ. Candidate must be located within commuting distance or be willing to relocate to the area. This position may require travel to project locations.
Required Qualifications:
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
• At least 7 years of experience with Information Technology.
• Experience in end-to-end Loan IQ migration work stream.
• Strong knowledge of database schema design, data types, and SQL best practices. SQL server & access database management experience.
Preferred Experiences:
• At least 8 years of technical experience in LoanIQ.
• At least 8 years of experience in LoanIQ API and data model.
• Migration of Syndication lending products portfolio from ACBS / AFS to Loan IQ using Finastra DCT tool within the migration window in an iterative format.
• Loan IQ Migration consultant will act as the Subject Matter Expert (SME) and possess an excellent. functional/operational, Database, DCT ETL Tool knowledge of the activities performed by the various teams.
• Candidate must have experience in the areas of migrating Data and portfolios from one platform onto Loan IQ. They are consolidating loan data from the donor applications like ACBS, AFS and other lending application onto Loan IQ.
• Design and develop extract, transform, load (ETL) procedures to successfully convert data from our customers legacy system(s) to Loan IQ
• Create conversion scripts based on data mapping documentation. Development of conversion related documentation including data mapping documents and conversion strategy documents.
• Work with Project Managers and Application Managers to plan data conversion process by developing project scope, objectives, specifications, and critical path actions identifying possible areas of concern periodically. Work closely with respective stakeholders and Managers to resolve the issues.
• Previous experience operating and delivering in multiple SDLC methodologies (including Agile, Waterfall)
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.