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Company vacancies

“The NSA helps you from your first beer to your first job”

Graduated mathematicians and physicists are sought after on the labor market. The NSA collaborates with several companies to give our members a kickstart to the beginning of their career.

For students

Are you ready to start your career, but you are not sure where you can work? The NSA has done preliminary work to provide a list for you with a couple of companies with open vacancies, you can apply for. To get in contact with these companies, the NSA organizes events with these companies. There are also a couple of interesting company profiles, that can be found on our site.

 If you have a question you can always contact Quinten Coelho or send an email to samenwerking@nsaweb.nl!


Graduate Trading Program

Interested in trading, developing trading strategies, applying AI and/or machine learning techniques and being on the edge of your seat while making decisions? Keep on reading! We offer you the opportunity to become a successful Trader at a world-renowned trading firm.

Flow Traders is at the intersection of finance, cutting edge technology and scientific research. Financial markets have made a rapid shift from trading in the pit towards algorithmic trading, and our firm has developed into an entrepreneurial and team driven FinTech Company.

As a Trader you manage and optimize our daily positions (pricing and trading) in a wide range of financial products including ETPs, bonds, derivatives, FX, crypto’ s and complexly structured products together with the Traders on your desk. You will formulate innovative trading strategies and, in close collaboration with our Software Engineers, develop trading models and tools that allow us to capitalize on opportunities swiftly and adequately.

Onboarding
As we do not expect you to have any far-reaching trading or finance knowledge upfront, we offer you an extensive onboarding program of 3 months. You will learn about our core business, the financial products we trade and the mathematics required to price them. You will also go through trading simulations and quantitative classes given by our Senior Traders. Gradually, you will take on more responsibilities, start monitoring markets, making split-second portfolio adjustments, and you will finish your onboarding program with a real trading project with other graduate Traders.

After your onboarding, you will be assigned to a trading desk based on your skills and interests. From that moment on you will start developing into one of the following trading areas:

Spread Trading
Focus on pricing challenging financial products that require impeccable risk/reward trading decisions.

As a Spread Trader, you will use statistical models to price and capitalize on expected price movements of a wide range of asset classes. This form of arbitrage is often less speed dependent. The edge comes from determining the true price of these products better than the rest of the market. You will constantly evaluate the risk/reward associated with your trades and positions based on robust statistical analysis combined with years of trading experience.

Quantitative Trading
Focus on applying Mathematics, Statistics, Probability Theory, Machine Learning techniques (e.g. deep neural networks) to create profitable trading strategies.

As a Quantitative Trader, you will work in a team consisting of Quantitative Traders, Traders and Quantitative Researchers to optimize existing trading strategies while learning how to ultimately develop your own trading ideas. You will back test, optimize and implement it in the trading engine to convert simulation results to a profitable trading strategy. Interest in Machine Learning Techniques and AI, experience is an advantage;

Tech Trading
Focus on optimizing our trading software in close collaboration with our Product Managers and Software Engineers. You will lead the process of the development of new tools that will improve several trading desks on the trading floor.

As a Technical Trader, you will use in-depth knowledge of market structure and algorithms to create strategies and setups that enable us to trade a large range of products effectively. You will create new approaches to automate trading and develop setups that resemble the strategic approaches of a screen Trader, allowing us to trade orders of magnitude faster, and in many more assets than would be possible with manual trading. Finally, you will provide guidance to our development department regarding the continuous development of our in-house trading software, using experience obtained from analyzing our automated trading, to improve our trading strategies.

Screen Trading
Continuously quoting bid and ask prices and making split second decisions based on movements in the market.

As a Screen Trader, your primary responsibility is to act as a market maker in a group of products. This can be based on high frequency trades on exchange, or requesting one of our counterparties to show a price off exchange. By offsetting all the different flows you will try to optimize the spread between buy and sell prices. In order to do this as efficiently as possible, we continuously have to improve on all fronts, for example developing new pricing models.

What you need to succeed:

  • University degree, preferably in Mathematics, Statistics, Econometrics, Engineering, Finance, Technology or related;

  • Demonstrable interest in trading and global financial markets;

  • Keen interest in IT systems, and an affinity for development languages (C, C++, Python, JAVA, or similar);

  • Innovative & creative high potential with excellent mental arithmetic and analytical skills;

  • Competitive, communicative and able to deliver under pressure;

  • A distinct ability to spot arising opportunities and the assertiveness to seize them;

  • Fluent in English;

  • Maximum of three years’ work experience.

We Offer

Flow Traders offers you an exciting job within the most dynamic environment. We like to think that talent grows at Flow and stays at Flow. To ensure this, we provide our employees with a great, non-hierarchical working environment with many opportunities and fantastic perks, such as:

  • Competitive salary and annual discretionary bonus;
  • Flow Academy for continuous learning;
  • We have our own in-house bar, gym and boat;
  • Breakfast, lunch, snacks and amazing coffee;
  • Table tennis, pool table, arcade and console games;
  • A yearly company trip and Christmas party that exceed expectations;
  • Fun team outings during the year;
  • Rotation within and between our offices worldwide;
  • And many more.

Recruitment process

Flow Traders recruits on-campus at several universities in the Netherlands, UK and Germany. Please check our events calendar on our website to find out if we are hosting an event at your university. It is highly recommend to attend one of our presentations!

  1. Apply through our website with a CV and convincing cover letter.
  2. A numerical test and a capacity test.
  3. A phone interview with a Recruiter with a focus on motivation and cultural fit.
  4. An interview with a Recruiter and a Trader with a focus on core business knowledge, brainteasers and skills.
  5. A case-study interview in our Amsterdam office, conducted by two Senior Traders.

For more information, please email careers.amsterdam@nl.flowtraders.com.
If you do not receive, a confirmation email after applying on our website, please contact culjee@flowtraders.com

Quantitative Trader

We are looking for a Quantitative Trader to join our Quantitative Trading team in our Amsterdam office. As a firm, we are at the intersection of scientific research, finance, and cutting edge technology. Financial markets have made a rapid shift from trading in the pit towards algorithmic trading, and our firm has developed into a FinTech company.

 

Our new Quantitative Trader will be responsible for developing trading strategies from scratch. Therefore, we expect you to be innovative, analytical, hands on and have a winning mentality. You will come up with your own trading ideas who will be profitable for Flow and you will receive the full support you need to develop this strategy. Thereafter, you will be monitor your own trading strategies in real-life to see how successful it is.

 

A Day in the Life

08:00

Start up systems and check on the latest news and market movements.

08:15

Stand up meeting trading: analysts give a briefing on the latest market developments and figures of the day, an IT operations representative briefs on the health of our systems: all systems are good!

08:30 - 9:30

A new developed strategy based on a curve model is live at another trading desk. I check if the setup is correct and if the model behaves correctly. Since the model is in a deployment phase it is very important to monitor the behavior of the strategy until someone else can fully takeover. I keep monitoring the strategy until 09:30.

09:30 - 12:00

Back at my own desk. I analyze last weeks data in Python while monitoring the behavior of the curve model on the site. Discuss the model with a fellow quant trader to see where we can improve.

12:00

Grab some lunch and eat it at my desk.

12:30 - 14:00

On my way to the training room. Today I am going to teach a group of junior traders how to implement a model as a new strategy in our trading platform.

14:00 - 15:00

Discus latest developments and planning with a development team.

15:00

Sync on the behavior of the curve model strategy.

15:30

Testing another new strategy in the simulation environment. This model is not ready for production yet but the results look promising. Most likely it is ready to run in production at my desk next week.

17:15

Monitor the curve model until markets close.

17:40

Back at my desk. Do some java coding to improve the curve model.

19:00

Going home.

 

Responsibilities

  • Develop trading strategies from scratch (eg: relative value) for our financial products;
  • Apply AI and Machine learning techniques (e.g. deep neural networks);
  • Manage your own trading book;
  • Work in close collaboration with our Software Developers, Quant Researches and Traders;
  • Back-testing and optimize models;
  • What You need to Succeed
  • University degree in engineering, physics, math, statistics, computer science (or similar) or PHD and a demonstrable interest in trading;
  • Interest in Machine Learning Techniques and AI, experience is an advantage;
  • Experience with a scientific programming language (C, C++, Python, JAVA, or similar);
  • Strong mathematical and statistical skills;
  • Ability to reason logically, deliver under pressure and take ownership;
  • Ability to spot opportunities, innovative and creative;
  • Competitive attitude, eager to learn, proactive and able to work in a team;
  • Maximum of three years’ work experience
  • Excellent verbal and written English skills.
  • Recruitment Process / onboarding
  • As we do not expect you to have any trading knowledge upfront, we offer you an extensive onboarding program. Within two months, you will learn about our core business, the financial products we trade, and the mathematics required for pricing them. You will go through quantitative and trading classes given by our senior Quants and Traders. Finally, you will finish your onboarding program with a co-project with Junior Traders.

 

Recruitment process

Please apply through our website with a CV and convincing cover letter. You will need to pass our IQ test and numerical test to be invited for the technical interview. During the recruitment process, you will meet several people from the Quant and Trading teams who will test your problem solving skills and your mathematics background. Up for a real Quant Trading challenge? Apply now!

Quantitative Researcher

 

Flow Traders is a leading principal trading firm with Headquarters in Amsterdam, and offices worldwide in New York, Singapore, Cluj, Romania and Hong Kong.

 

What you do:

We are looking for a Quantitative Researcher to join our Quantitative Research team. This is an exceptional opportunity for candidates to join a principal trading firm, working alongside some of the brightest minds in the industry.

 

As a firm, we are at the intersection of Scientific Research, Finance and cutting edge Technology. Financial markets have made a rapid shift from trading in the pit towards algorithmic trading, and our firm has developed into a FinTech company. 

 

A successful Quantitative Researcher, first and foremost, must be an expert in mathematics and statistics. We are looking for someone who loves to work with numbers and code automated trading algorithms. You should have an innate desire to generate and backtest new trading ideas, with generation of alpha and automated strategies as ultimate output goals. You will work alongside Traders and Quantitative Researchers on state of the art trading solutions and apply cutting-edge machine learning techniques. If this sounds like music to your ears, and passion to solve and code mathematical problems are your trademark traits, then this opportunity is for you.

 

Responsibilities:

  • Collaborate with Traders and Quant Researchers to optimize and improve trading strategies;
  • Research and analyze financial data to find exploitable patterns;
  • Design and implement complex quantitative models and automated trading algorithms.

 

A day in the life:

 

08:00 - 08:15 AM:        

I arrive at the office and walk into the lounge to get myself a sandwich and a glass of orange juice and while I am at it, I bring some coffee for my teammates. I log in to my computer and walk towards the huddle area to listen to the daily morning meeting which gets us up to speed on what has happened over night and the most important things to expect for today.

08:30 - 10:00 AM:        

After the morning meeting I start running the quantitative models that are already in production and send updated parameters to Traders so they can put it in their trading engine. 

10:00 - 12:00 AM:          

Mostly programming, I start working on my to-do list which are mostly researching and designing new trading algorithms, but projects can range from statistically investigating a trading idea in Python, R or MATLAB to coding new improved versions of trading algos in JAVA. As an example today I was working on a bug in one of the trading algorithms that I wrote as we noticed it doing some weird trades.

12:00 - 12:30 PM:        

Lunchtime! At Flow we enjoy a great lunches. To illustrate this: Every now and then, we get spareribs and nothing makes me happier.

12:30 - 17:45 PM:        

After lunch I continue where I left off and try to finish any projects with pressing deadlines, or ad-hoc research requests that come in.

17:45 PM:                   

As most European exchanges close, I shut down my PC and head home. However, on Fridays it usually worthwhile to stay and have a drink at our in-house bar where some good old trash talking usually leads to a counterstrike team battle at our gaming room combined with a few beers.

 

What You Need to Succeed:

  • A Master or PhD degree in Econometrics, Data Science or Statistics;
  • Experience with a scientific programming language (e.g. Python / MATLAB / R or similar);
  • Experience with JAVA and/or C ++ (or similar) is an advantage;
  • Strong mathematical and statistical skills;
  • Ability to reason logically, deliver under pressure and take ownership;
  • Competitive attitude, eager to learn, proactive and able to work in a team;
  • Maximum of five years’ work experience;
  • Excellent verbal and written English skills.
  • Onboarding:
  • As we do not expect you to have any trading knowledge upfront, we offer you an extensive onboarding program. Within two months, you will learn about our core business, the financial products we trade, and the mathematics required for pricing them. You will go through quantitative and trading classes given by our senior quants and traders. Finally, you will finish your onboarding program with a co-project with Junior Traders.

 

Application Process:

Please apply through our website with a CV and convincing cover letter. You might receive an invitation for an IQ test and a puzzle for you to solve. During the recruitment process, you will meet several people from the Quant and Trading teams who will test your problem solving skills and your mathematics background. Do you love solving puzzles? Great, then this could be the job for you!

 

We Offer

 

Flow Traders offers you an exciting job and lots of opportunities within the most dynamic of environments with an excellent compensation package. We like to think that talent grows at Flow and stays at Flow. To ensure this, we provide our employees with the best working environment, the latest technology, continuous support, and we go out of our way to retain the small business feeling with which we started. We offer a competitive salary and reserve a percentage of our business results for our bonus pool.


Nikhef - National Institute for Subatomic Physics

Do you have a master’s degree in physics or have you almost graduated? Are you fascinated by gravitational waves, elementary particles, or what happened directly after the big bang? As a PhD student at Nikhef, you will work to become a professional researcher specialised in particle physics. After completion, you can either continue working as a scientist, or you can start working in a different field.

Why go for a PhD at Nikhef?

Most PhD students choose Nikhef out of curiosity for the research topic. As a PhD student at Nikhef, you have a lot of freedom to plan your own research and development. You are part of international research projects, for example at CERN or in laboratories in Italy, France or Argentina, and you have the opportunity to travel. You can also take courses that are useful for your research or your career in general. You will be supervised, but we also expect a certain degree of independence.

Available PhD positions

Nikhef currently has two PhD positions available: one position in the gravitational wave group in Amsterdam, and one  in the ATLAS group in Nijmegen. The deadline for applications is 15 January 2019. More information is available on the website: www.nikhef.nl/phdpositions


 

Join our dynamic market making team! 

As a Junior Trader you are responsible for pricing and trading options of listed financial instruments, as well as managing and optimizing your daily positions. Together with the trading team and software developers, you will be adjusting your pricing variables and system settings to the current market conditions. By constantly following the market you should be able to spot and research profitable opportunities.

You will start with three months of extensive training, learning both advanced theory and market making practice on-the-job. The first 4 weeks you begin with learning all ins and outs of option theory, the trading systems/tools and performing trade analyses. After 4 weeks you will put that knowledge into practice and start trading on a limited portfolio under close supervision, with ongoing coaching, training and monitoring.

Who we are

All Options is a derivatives trading company established in 1998. We are a market maker firm with a major presence on European and growing presence on non-European equity derivatives markets, specialized in trading options of listed financial instruments. We are a non-hierarchical, informal organization, continuously looking for improvements and growth. Our office is situated on the Herengracht, in central Amsterdam. Every employee has a high impact on our results, which is both challenging and rewarding. At All Options, we ask you to proactively influence decisions and make a difference. This means a demanding but exciting career opportunity for a professional who’s aiming for a steep learning curve and being rewarded with development opportunities and an attractive remuneration package.

We have developed a Training Program for Junior Traders to jointly be introduced to our Company. The next group will start in September 2019.

You match the profile because you have:

  • A Quantitative Master's degree, for example in Econometrics, Mathematics, Physics or Computer Sciences.
  • Excellent numerical and problem solving / analytical skills.
  • Strong interest in option trading and financial markets, demonstrated through attended courses at university and trading (work) experience.
  • Strong communication and team-working skills.
  • The eagerness to learn new skills, such as programming and researching to improve our existing trading strategies and find new strategies.
  • A proactive work approach
  • Good verbal and written English skills 

 

Interested?

Are you ready to start working in a great team-trading environment? Apply today and send your resume and cover letter to career@alloptions.nl. If you are applying from a foreign country, please also state your motivation to move to Amsterdam.