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Hiring role Business Analyst with Loan IQ at Charlotte, NC (Day one Onsite) at Charlotte, North Carolina, USA
Email: [email protected]
From:

Srikanth Raju,

SIRI INFO SOLUTIONS

[email protected]

Reply to:   [email protected]

Hello ,

Hope you are doing well!!

Greeting from Siri Info  Solutions.                                                              

I am Srikanth with Siri Info   Solutions. We  Siri Info  is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. We have an immediate opening for the below position with one of our premium clients.

Job Title: Business Analyst with Loan IQ

Work Location: Charlotte, NC (Day one Onsite)

Duration: Long Term

Minimum years of experience: 7+ years

Must Have:

Please provide hands on experience candidates with Loan IQ Migration

Finastra DCT

Valid LinkedIn profile

Passport Number

Two professional references

Project Description:

Migration of Bi-lateral lending products portfolio from AFS to Loan IQ using Finastra DCT tool within the migration window in an iterative format. Each iteration will include a pre-defined transaction volume:

Manage DCT Extraction, Transformation and Loading of loans data into Loan IQ using Finastra DCT as a migration utility

Validation of data loaded into Loan IQ against the source data in DCT staging Database (DB)

Configure DCT tool as finalized requirements provided by the Wells Fargo Business SME team

Replicate source database into Finastra Loan IQ DCT tool

Establish DCT database and API connectivity with Loan IQ application

Monitor transformation and extraction processes in DCT

Perform loading of Loans data in DCT tool

Report findings of the DCT load in the context of Loan IQ API validations

Share statistics of each DCT load with # of successes and failures.

Tech Skills:

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.

Thorough understanding of donor system data mode and correlate with Loa IQ API template and perform accurate field level and template level mapping based on conversion scope.

Design and develop extract, transform, load (ETL) procedures to successfully convert data from our customers legacy system(s) to Loan IQ

Detailed functional mapping document and detailed translation logic explanation and prepare project documentation based on the organization quality standards.

Work with data owners, Application Managers, Business and operations stakeholders to verify and obtain approval that any transformed data retains its accuracy.

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.

Clear understanding of Migration Design standards, Organization security and entitlement standards and make sure conversion activities are in sync with required standards.

Good understanding of Infrastructure Management aspects and overseeing technical and aspects of server, DCT management and their configurations. Excellent working knowledge of security, and conversion Performance aspects. Should be able to perform capacity planning and performance management in-line with conversion scope.

Previous experience operating and delivering in multiple SDLC methodologies (including Agile, Waterfall)

Keywords: access management business intelligence database North Carolina
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Mon Jul 31 20:24:00 UTC 2023

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Location: Charlotte, North Carolina