Market Data Analyst/ Business Analyst

ACT (Amsterdam - Acanthus)

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The Market Data Analytics Team is part of the Traded Risk Management (TRM) department, a team of approx. 60 people supporting a wide area of businesses within Financial Markets and Group Treasury. The Market Data Analytics team is responsible for all aspects of market data used by the TRM department including market risk, product control, and counterparty credit risk. 

ING is looking for Market Data Analyst/ Business Analyst to join the Market Data Analytics Team (MDAT) supporting a team focused on the management of market data sourcing, transformations, models and proxies, as well as the development of dashboard and data analytics tools, forming a market data centre of excellence within TRM. We are looking for a candidate who has proven hands on experience in managing projects, analysing and visualising large sets of market data, as well as a background in Market Risk and some derivatives pricing knowledge.

Roles and responsibilities

  • Developing and maintaining derived market data and proxy models for multiple asset classes

  • Conducting analysis on large data sets, processes and technology systems

  • Coordinating and implementing market data used in market risk-related internal initiatives as well as upcoming regulatory changes and strategic market data programmes

  • Being a point of contact to resolve market data queries from our stakeholders including Trading, Risk and Model Validation

  • Collaborating with the global team across the full market data lifecycle including requirements, architecture, implementation, testing, and release management

  • Working closely with the TRM teams to understand and deliver on their market data requirements

  • Co-ordinating agile projects with IT developers and system support teams to develop and maintain high market data quality standards on behalf of TRM

  • Working closely with Model Validation to close out market data related findings

  • Daily market data validation & reporting, defined by the Market Data Replacement & Proxy Policy

How to succeed

We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.

Qualification/Education

Essential:  Graduate (at least UK 2:1 degree | 60% under ECTS | US A-/B+ ) in finance or another quantitative subject

Desirable:  Professional qualification (e.g., PRM, FRM)

Experience/Knowledge

Essential:  At least three years of experience in a Market Risk or Product Control function within a large internationally active financial institution. 

Desirable:            

  • Statistical and mathematical background

  • Experience in dealing with large market data sets and associated technology with a working knowledge of SQL and Python

  • Good quantitative level of experience with several asset classes, their risks and pricing

  • Advanced level understanding of quantification of market risk metrics (VaR, HVaR, IRC, etc.) and market risk capital requirements

  • Experience with and keen interest in financial markets relevant policies, guidelines and regulations

  • Experience with systems such as Summit, Murex, Reuters, ActivePivot.is also a plus

Personal Competencies

Essential:             

  • Strong quantitative problem solving skills (this will be tested at interview)

  • Strong communication skills: Position involves regular interaction with colleagues in varying degrees of seniority and understanding of new rules and processes.

  • Self-starter, result-driven and flexible, i.e., able to adjust quickly to new circumstances

  • Must be capable of working very productively and independently using time very efficiently under tight timelines.

  • Team player with a mindset of empowering others

  • Delivery focused

  • Professional and confident manner

  • Good verbal and written communication skills

  • Organised and detail orientated

  • Fluent in English

What do we offer?

Working at ING means working in a dynamic and international setting. In addition, we offer a full time position (40 hour week) with an excellent compensation package.

Interested?

Apply directly online, click on Apply for this job. Please send your CV and motivation. We are looking forward to your application! For more information on vacancies please check www.ING.nl/carriere

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Agile Architecture Credit risk Data Analytics Data quality Finance Python SQL Statistics Testing

Perks/benefits: Flex hours

Region: Europe
Country: Netherlands

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