Front Office Quant - Risk Factor Modelling

Your work environment

Financial Markets (FM) is the Bank’s gateway to the professional markets around the world. Our primary function is to service the needs of ING’s clients with products, services and guidance. FM aims to be a significant player in our market leader and challenger markets, with an additional presence in all the major international markets and specialist expertise in selected emerging markets and products.

Your role
The FM Quants team is a global team within the FM organization that provides quantitative expertise required to price and risk-manage derivatives products. Its main responsibilities are in the areas of model development, analytics and implementation into our Front Office systems.

ING is looking for a Front Office Quant to join the Risk Factor Modelling Team, part of the Market Risk and Global Projects Team within Front Office Quantitative Development.

The team is responsible for the development of quantitative methodologies supporting valuation adjustments, market data analytics and risk management applications across Financial Markets. We combine quantitative modelling, data analytics and software development to deliver robust solutions supporting pricing, risk measurement, regulatory compliance and strategic business initiatives.

The role offers exposure to a broad range of asset classes, quantitative methodologies and stakeholders across Trading, Risk Management and Technology, providing excellent opportunities for technical and professional growth.

Your key responsibilities

The team activities are varied and cover a broad range of quantitative modelling and analytics topics. Key responsibilities include:

• Develop valuation adjustment methodologies, with a focus on interest rate-related valuation adjustments and prudent valuation frameworks.
• Develop risk factor models and historical market data methodologies for pricing and risk management applications.
• Support the implementation, testing and validation of quantitative methodologies.
• Assess the impact of new products and market developments on existing methodologies.
• Contribute to the enhancement of quantitative models and analytics used across Trading and Risk Management.
• Work closely with Trading, Risk Management, Model Validation and Technology teams on quantitative initiatives.

Who are we looking for?

A colleague with a talent for taking it on and making it happen, enthusiasm for helping others to be successful and a knack for always being a step ahead. In other words, you strive to bring fresh ideas to life and embrace challenges in a fast changing and complex environment. You are a naturally collaborative person who listens and invests in others to achieve common goals. You love to challenge the status quo and are eager to propose creative solutions to problems.

As a Front Office Quant - Risk Factor Modelling you will need:

• A PhD or MSc in Mathematics, Physics, Econometrics, Statistics, Engineering or another highly quantitative discipline.
• At least 5 years of experience in quantitative modelling, quantitative analytics or model development within Financial Markets.
• Strong experience in credit risk modelling, valuation adjustments, risk factor modelling and market data methodologies, including their application to derivatives pricing and market risk.
• Excellent programming skills and experience developing robust quantitative software solutions.
• Knowledge of one or more asset classes, including Interest Rates, FX, Credit, Equity or Commodities.
• Familiarity with quantitative model development, model calibration and implementation of quantitative methodologies in production environments.

We offer you

You will join a highly skilled quantitative team working on complex modelling challenges within Financial Markets. The role provides significant exposure to Trading, Risk Management, Model Validation and Front Office Quantitative Development, while offering opportunities for professional growth and technical specialization in quantitative modelling, market data analytics and software development.