ExecutiveFull TimeEN
This position will provide MIS support for Mortgage Servicing Control teams and occasionally for business partners (Compliance, Internal Audit, Credit Risk, Originations, and CBORC). The candidate will be analyzing requirements, profiling source data, and writing SAS and SQL codes to pull populations/samples for control executions.
The primary objectives of this role will include:
Set up/attend meetings with various business partners and MIS teams to define the requirements and identify source data points.
Translate test requirements (Intake forms) into technical terms and implement them in SAS/SQL logic to pull populations and statistically valid samples for the tests.
Write new codes or update the existing ones to extract and/or profile data.
Prepare the program logic document and submit the change to Management for its approval.
Quickly respond to IA enquiries.
Conduct testing and analyze results to ensure extraction process returned the desired result and implement changes as needed.
Assist in uploading final reports to QA system (Quest) to allow reviewers to begin testing.
Write simpler Unix Shell scripts required.
Add SAS programs to AutoSys scheduler for automation purposes.
Maintain data integrity of the populations and reports in the department to satisfy compliance and regulatory requirements.
Develop ad-hoc reports as requested by the unit managers.
Assist in the development of the department’s final monthly reports for upper management and business partners, if requested.
Required Qualifications:
6-10 years of experience in the field of data management and analytics.
Experience as an Operations Research Analyst, Analytics Manager, Strategic Business Analyst or related position performing quantitative analytics supporting financial services
Experience analyzing large datasets; applying quantitative analysis techniques to perform complex analyses and data mining
Should be experienced with the architecture of Operational Data Store (ODS), Enterprise Data Warehouse (EDW) and Big Data Hadoop System so that he/she can pull the data with minimal guidance.
Must be experienced with Citi's major backend database systems (mainly Origination Empower, ODS Oracle, EDW Teradata and EAP.
Should be proficient in writing SAS/SQL programs to extract, transform and data.
Should know how to profile and analyze the extracted data; and develop analytical reports using SAS.
Should be able to write Python coded for complex or repetitive tasks.
Should be able to read/write SAS macros for complex or repetitive tasks.
Knowledge of UNIX basic commands and basic shell scripting.
Knowledge of AutoSys scheduling tool to automate jobs.
Knowledge of project management is preferred.
Team player with good communication skills.
Education:
Bachelors/University degree in related field; Master’s degree is preferred
Shift : 3.30 pm to 12.30 am
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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