Finance Intern Network
Senna

Investment Analyst Intern - Quantitative Verified Job Post

Full Analysis: How to Land the Role

Role pressure, recruiter route, and the profile this brief is rewarding. Apply on Employer Site

Amsterdam

How to Reach Out and Get Noticed

Max B.
Max B.
Talent Acquisition Advisor V****
Verified Van Lanschot Kempen
What to message Max

Join to unlock the recruiter outreach example for this role.

Join to View

How to Position Yourself for this Role

**
Lead with fit Open with Commercial Judgement and Backtesting in the first third of your CV.
**
Bridge your story Frame your background around Finance/Economics students instead of generic finance interest.
**
Mirror the brief Repeat the brief’s language around ACA Qualified before your achievements.
**
Prove it fast Add one quantified example that makes Bachelor's or Master's degree (final stage) easy to screen.

See where your background lines up with the brief, how visible your strongest role signals are, and which gaps make the profile feel weaker on first pass.

Still to surface

This comparison highlights where your CV already reads close to the role, where recruiter-facing language is still missing, and what to emphasise before applying.

Fit commentary Missing signals Positioning guidance
Key skills Quantitative Analysis, Backtesting, FactSet
Qualifications Bachelor's or Master's degree (final stage), Dutch and English proficiency
Typical backgrounds Finance/Economics students, Quantitative Finance
Experience Student level (final stage studies)

Salary Trend by Experience

Average salary
Median salary
Tax rate
Annual salary Equivalent (USD) Unlock full salary insights
EUR •••K $ •••K EUR •••K $ •••K EUR •••K $ •••K EUR •••K $ •••K EUR •••K $ •••K EUR ••• $ ••• Intern Graduate Analyst Analyst (1-2 years) Senior Analyst (3-4 years) Principal Analyst (5+ years)

Join to view the full salary trajectory and market compensation path for this role.

Role overview
Role brief

Investment Analyst Intern role at Van Lanschot Kempen focusing on quantitative analysis, backtesting, and optimization using FactSet tools. Combines investing, data, and technology in an educational environment with direct impact on investment processes.

Profile rewarded

Students in final stage of bachelor's or master's degree with quantitative finance background, available minimum 3 days/week for 3+ months, proficient in Dutch and English

Quick Improvements and Fixes For Your CV

Join to view the full CV audit, keyword fixes, and rewrite suggestions for this role.

Join to View

Successful Hires

What backgrounds usually get interviews?

Join to view how your profile compares to the job requirements.

Join to View

Competition

How hard is it to get an interview for this role?
Students from VU Amsterdam, UvA, EUR with finance focus

Other final-year finance students with quantitative focus, particularly those with FactSet exposure or similar financial software experience.

Candidates with prior financial software experience

Competition includes students from top Dutch universities with relevant coursework.

Students from VU Amsterdam, UvA, EUR with finance focus Candidates with prior financial software experience Those with demonstrated analytical precision in academic work

Risk

Who usually gets rejected for this role?
Appearing purely academic without practical interest

Main risk is appearing too theoretical without practical application interest.

Unclear availability commitment

Also risk of insufficient availability commitment or language barriers affecting daily collaboration with Dutch-speaking team.

Appearing purely academic without practical interest Unclear availability commitment Language proficiency concerns for team integration

Tailored Materials

Use tailored application materials for this role
Emphasize quantitative analysis coursework

Customize CV to emphasize quantitative coursework, analytical projects, and technology aptitude.

Show technology and data interpretation skills

Cover letter should demonstrate understanding of investment process improvement and enthusiasm for FactSet tools.

Emphasize quantitative analysis coursework Show technology and data interpretation skills Demonstrate investment process improvement interest
Is it worth Applying for Jobs in Amsterdam

Join to see whether Amsterdam is worth targeting for your background, salary upside, and market positioning.

Join to View

Role Brief

What the live job description actually says

Use the original brief to validate the analysis and lift exact language.

Work with advanced backtesting and optimization tools to further improve our investment process. You combine investing, data, and technology in an educational role with direct impact. This gives you the opportunity to apply academic knowledge in practice within a professional investment environment.

You gladly contribute your talents as a Working Student Quantitative Investments at investment bank. In this role, you support the team in analyzing, testing, and optimizing investment strategies using FactSet\'s backtest and optimizer module. You contribute to further professionalizing the investment process and translate quantitative insights into concrete improvement proposals.

Furthermore, you will be involved in:

conducting backtests and analyzing the results

supporting in optimizing investment models and processes

processing and interpreting quantitative data for investment issues

thinking about improvements in the use of FactSet within the team

easily using known AI solutions to support you in your task

Analytical, eager to learn, and precise. That\'s how we can best describe you as a Working Student Quantitative Investments. Talents that you use to guide our clients through a constantly changing world every day. By thinking further and asking questions. And that\'s great if you have an affinity for investing and enjoy working at the intersection of data, technology, and content. You enjoy quickly mastering new systems and working independently in an academic environment.

In addition:

you are pursuing a bachelor\'s or master\'s degree and are in the final stage of your studies

you have an affinity for investing and quantitative analysis tools

you are available for a minimum of 3 days a week for at least 3 months

you can use simple AI applications to work more efficiently and accurately

you have a good command of the Dutch and English language, both orally and in writing