Risk Tech Analyst

Madison-Davis, LLC; New York (NY); Presencial; USD 90.000 - 120.000; Jornada completa

Descripción de la vacante

Madison-Davis, LLC is seeking a Risk Tech Analyst to join the technology organization supporting risk analytics and new-product initiatives. You will work at the intersection of technology, data, and financial risk, collaborating with quantitative, analytics, technology, and business stakeholders.

The role emphasizes Python, SQL, and data-quality improvements, with opportunities to contribute to capital markets risk projects and automate processes.

Formación

• 2+ years in a technical, analytical, or business-facing technology role.
• Hands-on Python experience.
• Strong SQL skills.
• Experience validating datasets and outputs.
• Ability to communicate technical concepts to stakeholders.

Responsabilidades

• Generate, analyze, and validate risk-calculation outputs and supporting datasets.
• Investigate issues involving market data, static data, scenarios, valuations, time series, and calculation inputs.
• Support data requests, calculation reruns, and issue resolution for quantitative and risk stakeholders.
• Assist with configuration, testing, and data preparation for new products and platform enhancements.
• Perform data mapping, reconciliation, validation, and integration activities.
• Use Python and SQL to investigate issues and automate repeatable processes.
• Partner with development teams to improve automation, reliability, and data quality.
• Create test plans, procedures, scripts, support documentation, and knowledge materials.
• Communicate issue impact, status, findings, and resolution paths to stakeholders.
• Escalate risks and technical problems proactively.

Conocimientos

Python

SQL

Data validation

Troubleshooting

Stakeholder communication

Analytical thinking

Problem solving

Hybrid NYC schedule

Educación

Degree in Computer Science

Applied Mathematics

Financial Engineering

Related field

Herramientas

Murex

JSON

Descripción del empleo

A global financial institution is seeking a Risk Tech Analyst to join a technology organization supporting risk analytics and new-product initiatives. This position sits at the intersection of technology, data, and financial risk and works closely with quantitative, analytics, technology, and business stakeholders. The analyst will generate and validate risk-calculation data, troubleshoot data-quality issues, support new-product enablement, and improve the reliability and automation of existing processes. This is an opportunity for a technically strong candidate to build deeper Capital Markets and risk-technology expertise while applying Python, SQL, and analytical problem-solving skills. Prior experience with derivatives, Market Risk, or a specific risk platform is helpful but not required.

Responsibilities

• Generate, analyze, and validate risk-calculation outputs and supporting datasets.
• Investigate issues involving market data, static data, scenarios, valuations, time series, and calculation inputs.
• Support data requests, calculation reruns, and issue resolution for quantitative and risk stakeholders.
• Assist with configuration, testing, and data preparation for new products and platform enhancements.
• Perform data mapping, reconciliation, validation, and integration activities.
• Use Python and SQL to investigate issues and automate repeatable processes.
• Partner with development teams to improve automation, reliability, and data quality.
• Create test plans, procedures, scripts, support documentation, and knowledge materials.
• Communicate issue impact, status, findings, and resolution paths to stakeholders.
• Escalate risks and technical problems proactively.

Role Requirements

• 2+ years of experience in a technical, analytical, or business-facing technology role.
• Hands-on Python experience.
• Strong SQL skills.
• Technical foundation developed through education, professional experience, internships, or substantive project work.
• Strong analytical, data-validation, and troubleshooting abilities.
• Experience working with datasets and validating technical or analytical outputs.
• Ability to explain technical projects, individual contributions, and outcomes clearly.
• Strong written and verbal communication skills.
• Ability to work effectively with technical and nontechnical stakeholders.
• Ability to prioritize multiple requests in a deadline-sensitive environment.
• Ability to work onsite in New York City according to the required hybrid schedule.

Preferred Experience

• Degree in Computer Science, Applied Mathematics, Financial Engineering, or a related field.
• Capital Markets, financial-services, or risk-technology experience.
• Exposure to Fixed Income, derivatives, or Market Risk.
• Experience with Murex or another enterprise trading or risk platform.
• Knowledge of VaR, stress testing, FRTB, backtesting, valuation, time series, or related risk processes.
• JSON or scripting experience.
• AI or process-automation project experience.