Technical Business Analyst & Developer/Engineer

Yablon & Associates LLC; Jersey City (NJ); Hybrid; USD 105,000 - 175,000; Full time

Job summary

Yablon & Associates LLC seeks a hybrid Technical Business Analyst & Developer/Engineer to support a large-scale Risk Management technology platform in Jersey City. The role combines business analysis with hands-on data work, including SQL-based risk calculations, Python data workflows, and Unix/Linux scripting.

You will own delivery end-to-end, work with investment and risk stakeholders, and translate business needs into technical specifications, data mappings, and test plans.

Qualifications

• Bachelor's degree or equivalent experience in a relevant field.
• Hands-on with SQL for large-scale data analysis and risk calculations.
• Experience delivering data-driven systems into production.

Responsibilities

• Own end-to-end delivery, from data mapping to production support.
• Translate business needs into technical specs, data mappings, and acceptance criteria.
• Define data flows across upstream/downstream systems and build controls.

Skills

SQL

Python

Unix/Linux

Excel

Data modeling

Data lineage

Reconciliation

JIRA

Git/CI-CD

Education

Bachelor's degree in a relevant field

Tools

Git

CI/CD

Job description

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)