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Data Scientist - Risk & Performance - NN

Location: The Hague
Employment: Full-time
You will play a strategic role in driving innovation and expanding value-add analytics – e.g. by implementing new ways to analyse risk and performance attribution data across all main investment boutiques within NN IP – ranging from equities and credits to liability driven investing mandates.

Important: As of April 11th 2022, NN Investment Partners is part of Goldman Sachs Group Inc. Your application will go through to Goldman Sachs.

Data scientist meets Risk Manager. Can you structure & analyse our performance & risk data in an innovative way to unlock new insights? Are you a problem solver with a key eye for solutions?

Your impact as Data Scientist - Risk & Performance

As part of the Risk Solutions & Engineering (RS) department you will play a strategic role in driving innovation and expanding value-add analytics – e.g. by implementing new ways to analyse risk and performance attribution data across all main investment boutiques within NN IP – ranging from equities and credits to liability driven investing mandates. You will work closely with our lead Data Scientist and dedicated scrum team. Finally, you will help streamline existing processes by deploying your programming skills in e.g. Python and AWS to maintain an efficient organization, increase the information content of our data as well as improve reporting to (senior) management.

Your Responsibilities

You are responsible, amongst others, for:

  • Help determine the information needs of the organisation with emphasis towards Portfolio Management (internal), Risk Leadership team (internal)  and Client Reporting (external)
  • Transform data into meaningful information which will enable better insights and decision-making (e.g. Python)
  • Help drive innovation by thinking of new ways to analyse and combine data (e.g. by building a proof of concept)
  • Provide both internal and external stakeholders with the relevant performance, attribution and risk analytics for their investment portfolios (e.g. PowerBI)
  • Participate in projects together with other departments such as Front Office, IT scrum teams, Risk Advisory and Data Management
  • Validate performance, risk and attribution data and ensuring that our stakeholders obtain the right numbers
  • Maintaining relationship with key stakeholders across the organization, including the front office and commercial team

Who You Are

We are looking for someone who has the following skill set:

  • Experience with programming languages (python, R) is a must
  • An understanding of BI tooling such as PowerBI would be beneficial
  • Strong analytical skills
  • Curiosity to explore new ideas, tools
  • Team player with can-do mentality, clear & easy communicator
  • Bachelor / Master degree in a quantitative field of study
  • You are familiar with performance and risk analysis concepts or are capable of mastering these concepts rapidly
    (benchmarks, asset classes, derivatives, portfolio returns, volatility)
  • 3-5 years of experience, preferably within the financial industry
  • Opportunities to obtain certifications will also provided, such as CFA, FRM or CIPM 

Your department and challenge

The team consists of 11 team members with expertise in equity, fixed income, LDI and derivatives. RS plays a central role in providing independent analyses across the entire organization. RS works closely together with the front office and other teams, such as , IT scrum teams, other data scientists and data management. The RS team provides both internal and external clients with relevant information related to the characteristics of the portfolios – including data related to performance, attribution and risk analytics. Familiarity or affinity with (financial) risk and/or performance measurement is therefore a key requirement.

Employee benefits

You are more than a colleague and that is something we understand very well at NN Investment Partners. You have many roles in life, leading to different choices. At NN IP we give you the opportunity to select employee benefits that are important to you. For instance buying additional leave days and flexible working hours. In consultation with your manager and your direct colleagues, you are able to work from any location at any time, although the NNIP headquarters in The Hague will be the main work location. You get enough flexibility to adjust your working pattern to your personal needs. Also part of the benefits are allowances for setting up your home office and for internet use. In addition, you will receive:

  • Collective pension scheme with a personal contribution of only 6%
  • 194.4 hours of leave, based on a 36-hour week (that’s 27 vacation days for a 5-day working week) and one Diversity Day
  • Holiday allowance and a 13th month, paid with your monthly salary
  • NS Business Card 2nd class, which gives you unlimited travel 7 days a week. Do you prefer to travel with your own transport? Then you can declare the kilometres travelled for business and commuting.

At NN IP we work hybrid. We combine working from home and working in the office. Teams can meet online or in person. You and your team agree on what suits you best. We have set up our offices in such a way that there is a suitable place for every type of work. The official location for this job is The Hague.

Will you be our new colleague?

If you are enthusiastic about this vacancy and think that you would be a good fit for our team, we would like to invite you to apply. We are very keen to find out who you are, what motivates you and what you can contribute to this role at NN IP.

Apply now

If you have any questions about the vacancy, you can reach out via email to recruitmentnnip@nnip.com.

Location:

The Hague

Information and application:

Apply:

Please send your application for Data Scientist - Risk & Performance at NN in The Hague including your CV via our website.

Job code:

REQ2679500

Job posted

29 april 2022
Apply Now

More information:

If you have any questions about the vacancy, you can reach out via email to recruitmentnnip@nnip.com.

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Carrière als Big Data specialist

Onze (digitale) wereld is steeds meer data gedreven. Door verschillende databronnen te combineren en gebruik te maken van slimme algoritmen, kunnen voorheen onzichtbare verbanden worden blootgelegd, waarbij het niet alleen draait om data volume, maar ook om een specifieke manier van denken. De vraag naar Big data specialisten is groot en zal verder toenemen.

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