Position Details: FIS Systematics

Description:

Title- FIS Systematics
• No. of Position: 1
• Exp (Total/ Rel Exp.): 8-9 yrs
• Timings: rotational
• Location: Hyd/ Bangalore/ Chennai or Pune
• Working Days: Hybrid (3 days in office)
• Primary Skills:  Data Extraction

JD- *Key Responsibilities

• *Source System Analysis & Documentation

• Serve as the primary SME for FIS Systematics, including CICS/COBOL
file structures, VSAM datasets, and application modules (e.g., DDA,
Savings, Loans, CD, GL).

• Interpret and document Systematics data definitions, copybooks, and
file layouts to inform data mapping activities.

• Identify and explain system-of-record hierarchies, account
relationships, and cross-module dependencies.

• Clarify business rules embedded in Systematics processing logic
(e.g., interest calculations, statement cycles, charge-off logic) for use
in transformation specifications.

• Data Mapping & Transformation Support

• Collaborate with data architects and migration engineers to produce
source-to-target field-level mapping documents.

• Advise on data type conversions, code table translations, and
handling of Systematics-specific packed decimal, binary, and zoned-decimal
fields.

• Support the identification and resolution of data quality issues
discovered during profiling, including null handling, referential integrity
gaps, and legacy encoding.

• Review and validate transformation logic to ensure business rules are
correctly represented in ETL/ELT pipelines.

• Data Quality & Testing

• Define and document acceptance criteria for source data extracts,
including record counts, balancing totals, and key field validations.

• Partner with QA and reconciliation teams to design test cases that
verify the integrity of migrated data against Systematics source records.

• Assist in investigating reconciliation breaks, data anomalies, and
exception reports during migration dress rehearsals and cutover.

• Validate that migrated balances, transaction histories, and account
attributes align with Systematics end-of-day positions.

• Pipeline Design & Build Support

• Advise migration engineers on optimal extract strategies from
Systematics, including batch file exports, tape-to-disk conversion, and
VSAM sequential read approaches.

• Support the design of data pipeline architecture, providing input on
sequencing, dependency management, and load ordering (e.g., party before
account, account before transactions).

• Review pipeline build artifacts — including extract scripts,
transformation code, and load procedures — to ensure alignment with
Systematics data semantics.

• Participate in pipeline testing cycles and provide domain-level
validation of outputs at each stage.

• Stakeholder Engagement

• Act as a translator between legacy system operations teams and modern
platform architects, bridging knowledge gaps across generations of
technology.

• Participate in working sessions, sprint reviews, and design workshops
as required.

• Produce clear written documentation suitable for both technical and
non-technical audiences.

• Required Qualifications

• 5+ years of hands-on experience with FIS Systematics (also marketed
as Metavante Systematics or SCI), including deep knowledge of its core
modules (DDA, Savings, Installment Lending, Mortgage, CD/IRA, General
Ledger).

• Strong understanding of Systematics file architecture: VSAM KSDS/ESDS
structures, copybook layouts, and record types.

• Familiarity with COBOL-based processing logic and ability to
read/interpret Systematics source programs and JCL job streams.

• Experience participating in or leading data migration, system
conversion, or parallel run activities involving Systematics as source or
target.

• Practical knowledge of data extraction methodologies from Systematics
batch environments (sequential file dumps, report writer extracts, direct
VSAM reads).

• Experience creating or reviewing data mapping specifications and
transformation logic documentation.

• Strong analytical and problem-solving skills with the ability to
investigate complex data discrepancies.

• Excellent written and verbal communication skills; ability to
document complex legacy concepts clearly.

 

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