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Technical Business Analyst & Developer​/Engineer

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Yablon & Associates LLC
Full Time position
Listed on 2026-10-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 570 - 950 USD Daily USD 570.00 950.00 DAY
Job Description & How to Apply Below

Analysis, Business Analyst, Risk Management

Technical Business Analyst & Developer/Engineer

Jersey City, NJ

Risk Management Technology
-Technical Business Analyst & Developer/Engineer (Consultant)

Location: Jersey City

Duration
: 6+ months rolling

Compensation: Up to $950/day (C2C/1099) or $875/day (W2)

Overview

We are hiring a hybrid Technical Business Analyst & Developer/Engineer (Consultant) to support a large-scale RISK technology platform within a financial services environment.

This role sits at the intersection of business, data, and engineering
. You will work directly with investment and risk stakeholders to define requirements, then personally design and deliver the underlying technical solutions - from data mapping and development through production support.

This is not a documentation-only BA role. You are expected to own delivery end-to-end and stay hands-on with data and code.

Stakeholder Engagement & Requirements
  • Work closely with business users across investment, risk, and operations teams to gather and refine requirements
  • Translate business needs into technical specifications, data mappings, and acceptance criteria
  • Act as a delivery owner
    , managing scope, priorities, and timelines
  • Communicate progress, risks, and trade-offs to both technical and non-technical audiences
Hands-On Technical Delivery
  • Write and optimize complex SQL for risk calculations, aggregation, reconciliation, and reporting
  • Use Python for data analysis, automation, and validation workflows
  • Leverage Unix/Linux scripting for operational support, job control, and troubleshooting
  • Perform deep data analysis to investigate discrepancies, validate outputs, and trace data lineage
  • Contribute to system design decisions and collaborate with engineering teams on enhancements
Data Integration & Production Support
  • Define and implement data flows across upstream and downstream systems (positions, transactions, risk outputs, etc.)
  • Build controls, reconciliations, and monitoring to ensure data accuracy
  • Troubleshoot production issues by analyzing data, logs, and system behavior
  • Support releases, validation cycles, and ongoing platform stability
Testing & Delivery Governance
  • Create and maintain documentation including requirements, mappings, and test plans
  • Define and execute functional, integration, and UAT testing
  • Manage work through JIRA or similar SDLC tools
What You Need
Experience
  • 5+ years in a hybrid BA / data engineering / risk technology role
  • Proven ability to deliver data-driven systems into production
  • Hands-on experience working with investment, portfolio, or risk data
Technical Skills
  • SQL: Advanced querying, tuning, and large-scale data analysis
  • Python: Data processing, automation, and scripting (pandas or similar)
  • Unix/Linux: Command line and shell scripting
  • Strong understanding of data modeling, lineage, and reconciliation patterns
  • Experience with JIRA and modern development workflows (Git/CI-CD is a plus)
  • Strong Excel skills for analysis and validation
Domain Knowledge
  • Understanding of asset management workflows (portfolios, holdings, transactions, pricing)
  • Familiarity with risk concepts (exposure, sensitivities, aggregation, reporting)
  • Experience with risk data platforms or pipelines is highly desirable
What Makes You Effective
  • Able to move seamlessly between business conversations and hands-on technical work
  • Strong problem-solver who can diagnose data and system issues independently
  • Clear communicator who can explain complex topics simply
  • Detail-oriented with a focus on data quality, controls, and reliability
Education
  • Bachelor’s degree in a relevant field (or equivalent experience)
  • Advanced degrees or certifications (CFA, FRM, etc.) are a plus

Technical Business Analyst (Primary)
Data Engineer (Hands-on SQL/Python)
Risk Technology SME (Domain layer)

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