Accessibility Links

Equity Pricing Model Validation Associate

  • Job type: Permanent
  • Location: New York
  • Salary: US$120000 - US$160000 per year
  • Job reference: 248963/010_1555453329
  • Sector: Selby Jennings, Risk Management
  • Date posted: 16/04/2019

Pricing Model Validation Associate

An established global Investment Bank is searching for an intelligent and professional Pricing Model Validation Associate to join their Market Risk Department on the Model Validation Team. The firm is seeking an analytical candidate who will be responsible for performing the duties of completing model and product validation with the purpose of evaluating and decreasing the risk within pricing and liquidity models. The Pricing Model Validation Associate will be tasked with seeking major risk factors of derivative products and assessing the strength of the pricing model choices. This position is highly collaborative with other Model Validation Teams throughout the company globally. This diverse firm is seeking a quantitative candidate who is determined to contribute to ensuring company success.


  • Conduct independent analysis and regular inspection of models utilized for pricing and risk management of equity derivative projects. Ensure the concepts and assumptions of model specification are sound and conduct tests in stressed market conditions to check for correct implementation and test strength in several aspects.

  • Inspect product-model competency while taking account of hedging strategies and market liquidity to assess product sensitivity in several market conditions.

  • Create alternative approaches with reference to alternative pricing models.

  • Collaborate and be actively engaged with finance, R&D, Risk Managers and traders.

  • Accurately document detailed findings with pricing framework conditions and any limitations.

  • Report to the head of the Model Validation team.


  • 3+ years of experience in a pricing model validation or front office quant role with extensive experience with derivatives.

  • Extensive experience with object programming.

  • A Master/PhD from a top tier university in a scientific subject such as Mathematics, Mathematical Finance, Physics or Statistics.

  • Must have professional communication skills both written and oral in the English language.

Similar jobs
Sr. Quantitative Model Developer
  • Job type: Permanent
  • Location: Los Angeles, California
  • Salary: US$95000 - US$120000 per year + bonus
  • Description A regional bank in the Los Angeles area is looking for a Sr. Quantitative Analyst to join its Model Validation team. As an individual contributor to this expanding branch
Credit Risk Model Developer
  • Job type: Permanent
  • Location: Boston, Massachusetts
  • Salary: US$130000 - US$145000 per year
  • Description Retail Consumer Credit Risk Modeler Company overview: My client is a leading global client services firm specializing in digital transformation. Working with the worlds largest retail banks
Data Scientist for Machine Learning & Deep Learning
  • Job type: Permanent
  • Location: San Francisco, California
  • Salary: US$150000 - US$180000 per year + equity + relocation
  • Description An exciting data scientist, machine learning and deep learning role has emerged from an up and coming consumer lending firm. Familiar with Python, R or XGBoost? Keep reading
Buy Side Risk Manager
  • Job type: Permanent
  • Location: San Francisco, California
  • Salary: US$120000 - US$160000 per year + Competitve
  • Description A leading hedge fund sponsor is looking for an ambitious and driving risk analyst to join their intimately sized team! This firm is responsible for launching and managing hedge funds
VP Quantiative Model Development
  • Job type: Permanent
  • Location: San Francisco, California
  • Salary: US$130000 - US$175000 per year + Competitive Bonus
  • Description A Tier one Global Investment Bank is looking to hire an experienced VP on their Quantitative Credit Risk Model Development team in San Francisco. They are looking for candidates with over 5 years of