Full-Time

Mainframe Capacity Planning Engineer

StradIT

StradIT

Delivering AI-powered engineering solutions for finance

No salary listed

No H1B Sponsorship

Jersey City, NJ, USA

Hybrid

The role is hybrid. Other listed locations are Tampa, Dallas, and Boston.

US Citizenship Required

Bachelor's

Category
Data & Analytics (1)
Required Skills
Microsoft Office
SAS
Mainframe Computing
Data Modeling
Data Analysis
Excel/Numbers/Sheets
PowerPoint/Keynote/Slides
Requirements
  • A minimum of 5 years of related experience.
  • Experience with SAS.
  • Understanding of mainframe technology and components.
  • Experience with MICS/MXG.
  • Familiarity with mainframe capacity and performance data, including SMF, RMF, CICS, DB2, and MQ.
  • Intermediate Microsoft PowerPoint and Excel skills.
  • Analytical skills including data exploration, analysis, and production of models.
  • A solid background in descriptive statistics.
  • Work authorization in the United States and either a green card or United States citizenship.
Responsibilities
  • Run and validate the data collection and reporting process using scheduling software.
  • Design basic reports using SAS.
  • Build and edit JCL in ISPF.
  • Create and update policies, job aids, and other documentation.
  • Learn the MICS/MXG database architecture.
  • Diagnose MICS-related errors.
  • Execute and validate MICS administrative tasks to maintain proper system maintenance.
  • Summarize data using basic descriptive-statistics methods.
  • Display data in an organized manner.
  • Identify and describe patterns and relationships.
  • Collect and report business-volume data from varied sources.
  • Assess risks from extreme market conditions for selected business streams.
  • Produce and update a Business Process Requirements document for selected business streams.
  • Organize and store capacity-planning artifacts for future retrieval.
  • Develop ad hoc reports for senior business and management forums.
  • Mitigate risk by following established procedures and monitoring controls, identifying key errors, and demonstrating ethical behavior.
Desired Qualifications
  • Inferential statistics experience.
  • A bachelor's degree in mathematics or statistics, or equivalent work experience.

StradIT provides applied AI and engineering services for the global finance industry, helping banks, asset managers, exchanges, and custodian banks implement practical, scalable technology solutions. It integrates production-grade AI into core operations through Centers of Excellence in Applied AI, Data Analytics, Cybersecurity, Cloud & Infrastructure, Automated AI Testing, and Digital Assets & Blockchain, plus a Global Capability Center to build dedicated teams while StradIT handles setup and compliance. The company focuses on creating regulated, auditable systems such as distributed ledger infrastructure, smart contracts, and tokenization with regulatory alignment for bodies like the SEC and FCA. Its goal is to help financial institutions gain a sustainable competitive advantage by improving decision-making, security, and efficiency via AI and engineering.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • August 2026 careers page lists 18 open roles, signaling active hiring.
  • StradIT's digital-assets page cites SEC tokenization readiness, aligning with regulated market demand.
  • August 2026 job posts show SDET hiring for Treasury, Fixed Income, and Risk platforms.

What critics are saying

  • No public funding, customer logos, or revenue disclosures limit credibility versus larger consultancies.
  • StradIT's 2026 site leans on marketing claims; bank buyers can delay vendor approval.
  • If generative-AI delivery commoditizes, margins collapse and talent attrition can shrink StradIT quickly.

What makes StradIT unique

  • StradIT's August 2026 site bundles applied AI, cybersecurity, data, cloud, and blockchain delivery.
  • Its finance specialization targets capital markets, asset management, and mission-critical clearing workflows.
  • The GCC and Sun Model promise dedicated teams with continuous execution across regions.

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Benefits

Hybrid Work Options