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Fixed Income Data Analyst



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Department Overview:

The Financial Markets (FM) landscape is rapidly going through a process of digitisation, at the core of which is eTrading. eTrading at ING covers all products traded in ING FM. These span from the very liquid and electronic products (cash equities, futures, commodities and FX), Fixed Income products (corporate and government bonds) which are in the process of becoming electronic due to balance sheet reduction and regulation, to the less liquid and less electronic derivative products. Data is core to eTrading and a driver for growth.

eTrading sits inside financial markets trading. 

Main Duties and Responsibilities of Role:

We are seeking a skilled Data Analyst with strong data visualisation experience to support front‑office teams in analysing, interpreting, and presenting financial market data. The ideal candidate will be comfortable working with large, complex datasets and will translate quantitative insights into clear, actionable outputs for trading, risk, and management stakeholders.

Key Responsibilities

  • Analyse market, trading, and risk data to identify trends, anomalies, and performance drivers.

  • Build intuitive dashboards, reports, and visualisations to communicate insights effectively to front‑office and senior stakeholders.

  • Collaborate with quants, traders, and technology teams to automate recurring analytics and enhance data pipelines.

  • Develop metrics and analytics to support pricing, PnL explanation, market behaviour monitoring, and business decision‑making.

  • Ensure data accuracy, consistency, and documentation across reporting processes.

Career Potential

  • Strong exposure to trading teams in London but also other global FM trading locations;

  • Exposure to other global ING eTrading teams;

  • Scope for career progression within eTrading and trading functions.

Candidate Profile

Qualification/Education

  • Essential: Degree in numerical subject

  • Desirable: Masters in numerical subject

Experience/Knowledge

Essential:           

  • Strong Python skills

  • Experience in data analysis

  • Experience in data visualisation

Desirable:

  • KDB/q experience

  • Experience on an eTrading desk

  • Understanding of financial markets, products, and market data (e.g., rates, FX, credit, derivatives).

Personal Competencies

Essential:

  • Hands-on mentality;

  • Ability to deliver without supervision;

  • Creative learning and thinking, passion for technology;

  • Proactive behaviour and perpetual energy and drive to improve performance;

  • Challenger of the status quo, always striving to do things more efficiently and effectively;

  • Genuine team player.

Desirable:          

  • Customer and product focus;

  • Clear, concise and transparent communicator.

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Aleksandra Bernacka

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