UNKNOWN

ADAPTED_NOW

HOUR

Design and implement a validation framework to assess the performance of analytics produced by the company's quantitative libraries. Perform in-depth validation of quantitative models and evaluate them using relevant performance metrics.

<h3><strong>Pay Rate:</strong> $95 per hour</h3><h3><strong>Summary:</strong></h3><ul><li><strong>Location:</strong> Buffalo, NY</li><li><strong>Work Mode:</strong> Hybrid (min. 3 days/week at the office)</li></ul><h3><strong>Responsibilities:</strong></h3><ul><li>Design and implement a validation framework to assess the performance of analytics produced by the company's quantitative libraries.</li><li>Perform in-depth validation of quantitative models and evaluate them using relevant performance metrics.</li><li>Design and implement a technical solution to validate and monitor financial models.</li><li>Develop an understanding of the quantitative library and its key components.</li><li>Produce clear, well-structured validation reports and present findings to internal collaborators.</li><li>Define model testing strategies and document model methodologies and assumptions.</li><li>Contribute to building and maintaining the automated tests framework.</li><li>Apply strong knowledge of financial markets, including pricing conventions and valuation assumptions.</li><li>Deliver high-quality insights and support with a strong customer-focused mindset.</li><li>Solve complex analytical and technical problems with a high degree of independence.</li></ul><h3><strong>Requirements:</strong></h3><ul><li>5 years of solid understanding of quantitative models and methodologies, with the ability to critically assess and validate them.</li><li>Strong proficiency in Python (good development practices) and experience with key data structures and libraries.</li><li>Knowledge of financial markets, products, and pricing frameworks.</li><li>Strong problem-solving skills and the ability to work on sophisticated model-related challenges.</li></ul>

Axelon

Quantitative Model Validation Engineer

Analysis Skills

Customer Relations

Data Structures

Financial Modeling

Model Validation

Performance Analysis

Performance Metrics

Problem Solving Skills

Product Pricing

Python Programming/Scripting Language

Quantitative Analysis

Stock Market

FULL_TIME

FEED

3 days/week at the office) Summary: The Model Validation team is responsible for independently validating and monitoring cross-asset models and analytics delivered by the company. Responsibilities: Design and implement a validation framework to assess the performance of analytics produced by the company's quantitative libraries.

Pay Rate: $95 per hour Location: Buffalo, NY Work Mode: Hybrid (min. 3 days/week at the office) Summary: The Model Validation team is responsible for independently validating and monitoring cross-asset models and analytics delivered by the company. Responsibilities: Design and implement a validation framework to assess the performance of analytics produced by the company's quantitative libraries. Perform in-depth validation of quantitative models and evaluate them using relevant performance metrics. Design and implement a technical solution to validate and monitor financial models. Develop an understanding of the quantitative library and its key components. Produce clear, well-structured validation reports and present findings to internal collaborators. Define model testing strategies and document model methodologies and assumptions. Contribute to building and maintaining the automated tests framework. Apply strong knowledge of financial markets, including pricing conventions and valuation assumptions. Deliver high-quality insights and support with a strong customer-focused mindset. Solve complex analytical and technical problems with a high degree of independence. Requirements: 5 years of solid understanding of quantitative models and methodologies, with the ability to critically assess and validate them. Strong proficiency in Python (good development practices) and experience with key data structures and libraries. Knowledge of financial markets, products, and pricing frameworks. Strong problem-solving skills and the ability to work on sophisticated model-related challenges.

Axelon Services Corporation

The Model Validation team is responsible for independently validating and monitoring cross-asset models and analytics delivered by LSEG to its clients. Key Responsibilities Design and implement validation framework to assess the performance of analytics produced by LSEG quantitative Libraries.

<strong> Job Title: Quantitative Model Validation Engineer</strong><br/><strong> Location: Buffalo, NY - hybrid min. 3 days/week at the office </strong><br/><strong> Duration: 8-9 Months with potential extensions </strong><br/><strong> Interview process - 3 rounds</strong><br/><br/><strong> Role Purpose</strong><br/> The Model Validation team is responsible for independently validating and monitoring cross-asset models and analytics delivered by LSEG to its clients.<br/><br/><strong> Essential Skills and Qualifications</strong><ul><li> Solid understanding of quantitative models and methodologies, with the ability to critically assess and validate them.</li><li> Strong proficiency in Python (good development practices) and experience with key data structures and libraries.</li><li> Knowledge of financial markets, products, and pricing frameworks.</li><li> Strong problem solving skills and the ability to work on sophisticated model related challenges.</li></ul><br/><strong> Key Responsibilities</strong><ul><li> Design and implement validation framework to assess the performance of analytics produced by LSEG quantitative Libraries.</li><li> Perform in depth validation of quantitative models and evaluate them using relevant performance metrics.</li><li> Design and implement a technical solution to validate and monitor financial models </li><li> Develop an understanding of the quantitative library and its key components.</li><li> Produce clear, well structured validation reports and present findings to internal collaborators.</li><li> Define model testing strategies and document model methodologies and assumptions.</li><li> Contribute to build and maintain the automated tests framework.</li><li> Apply strong knowledge of financial markets, including pricing conventions, valuation assumptions.</li><li> Deliver high quality insights and support with a strong customer focused mindset.</li><li> Solve complex analytical and technical problems with a high degree of independence.</li></ul>

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