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ING

Market Data Analyst

Posted 2 Days Ago
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Acanthus, Nipissing, ON
Mid level
Acanthus, Nipissing, ON
Mid level
As a Market Data Analyst, you will manage market data sourcing and analytics, conduct analyses on large data sets, and coordinate market data initiatives. Your responsibilities include collaborating with teams on market data requirements, validating data quality, and communicating with stakeholders about market data queries and insights.
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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 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

  • Organized and detail orientated

  • Fluent in English

Rewards and benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at https://careers.ing.com/en/benefits-NL

The benefits of working with us at ING include:

  • A salary tailored to your qualities and experience

  • A salary indication 4.367 7.088 EUR based on 36 hours per week

  • 24-27 vacation days depending on contract

  • Pension scheme

  • 13th month salary

  • Individual Savings Contribution (BIS), 3.5% of your gross annual salary

  • 8% Holiday payment

  • Hybrid working to blend home working for focus and office working for collaboration and co-creation

  • Personal growth and challenging work with endless possibilities

  • An informal working environment with innovative colleagues

About us

With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.

Questions?

Contact the recruiter attached to the advertisement for more information. Want to apply directly? Please upload your CV and motivation letter by clicking the “Apply” button.

Please note, multiple interview steps involving various business stakeholders will be part of the selection process.

Top Skills

Python
SQL

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