Be ready to go over:

• Object-Oriented Design – Designing clean, reusable classes for instruments, models, and solvers.
• Numerical Methods – Implementing Monte Carlo simulations, finite difference methods, and binomial trees.
• Code Optimization – Understanding computational complexity, memory management, and execution speed.

Example questions or scenarios:

• "Write a C++ function to simulate asset paths under a geometric Brownian motion framework."
• "How would you optimize a Monte Carlo simulation to reduce variance and speed up convergence?"

Consulting & Client Readiness

As a consultant, you are the face of Lunalogic. The firm must trust you to represent them professionally at major financial institutions.

Be ready to go over:

• Communication Skills – Explaining complex quantitative models in simple, business-friendly terms.
• Adaptability – Demonstrating your ability to quickly integrate into different client teams and legacy codebases.
• Problem Solving under Pressure – Staying calm and structured when faced with ambiguous client demands or tight regulatory deadlines.

Example questions or scenarios:

• "How would you handle a client stakeholder who insists on using a model that you know is structurally flawed for their specific asset class?"
• "Describe how you would structure your first week on a new client project with minimal documentation."

As a Data Analyst at Lunalogic, your daily responsibilities will vary depending on your specific client assignment, but they will generally center around the following key areas:

• Model Development and Validation – You will design, implement, and validate quantitative models for pricing derivatives, managing market risk, and forecasting financial indicators. This involves writing clean, mathematical code and testing it against historical market data.
• Quantitative Data Analysis – You will build data pipelines to ingest, clean, and analyze massive financial datasets, including yield curves, historical volatilities, and transaction logs. You will ensure data quality and consistency across risk systems.
• Client Collaboration – You will work on-site or in close hybrid alignment with client teams, which include traders, risk managers, and IT developers. You will act as a bridge between quantitative research and software production.
• Regulatory Compliance Support – Many client missions involve aligning risk models with stringent financial regulations (such as FRTB, Basel IV, or Solvency II). You will document model methodologies and perform stress-testing analyses to satisfy regulatory requirements.

To be highly competitive for this position, you must meet rigorous academic and technical standards.

• Must-have academic background – An engineering degree from a top-tier institution (Grande École) or a specialized Master's degree in Quantitative Finance / Financial Engineering.
• Must-have technical skills – Strong foundations in probability, stochastic calculus, and statistical analysis. Proficiency in C++ and Python is mandatory.
• Must-have professional skills – Native or professional fluency in French (as most client placements are in Paris) and professional proficiency in English.
• Nice-to-have qualifications – Prior internship or work experience in an investment bank, trading floor, or asset management firm. Familiarity with financial databases and tools like Bloomberg, Reuters, or SQL is highly beneficial.

Q: How difficult is the technical math test? A: It is highly challenging and academic. It specifically tests your university-level stochastic calculus, integration, and probability theory. You should actively study textbooks on financial mathematics before attempting it.

Q: Is C++ absolutely mandatory, or can I just use Python? A: While Python is widely used for data manipulation, Lunalogic strongly values C++ due to its dominance in high-performance quantitative finance engines. Expect to be tested on both.

Q: What is the company culture like? A: It is an intellectually stimulating, consulting-driven environment. Success is highly meritocratic and relies on your technical performance and your ability to build trust with clients.

Q: How long does the recruitment process take? A: The process is typically efficient, often concluding within two to four weeks from the initial HR screen to the final offer, depending on client availability and scheduling.

• Master the Basics – Do not skip over the fundamentals of the Black-Scholes formula. Be ready to write down the formula, explain every Greek, and derive the partial differential equation on a whiteboard.
• Practice Paper-and-Pencil Math – Since Lunalogic utilizes physical written tests during their onsite interviews, practice solving integration, probability, and stochastic differential equations by hand without a computer or calculator.
• Understand the Consulting Model – Remember that you are applying to be a consultant. Frame your answers around how you can deliver value to Lunalogic's clients, adapt to new environments, and represent the firm with high professional standards.

The Data Analyst position at Lunalogic is an exceptional opportunity for quantitatively minded professionals looking to apply advanced mathematics and software engineering directly to the financial markets. By working across diverse client missions, you will rapidly build a powerful portfolio of experience in derivative pricing, risk management, and quantitative coding.

To maximize your chances of success, focus your preparation heavily on mastering stochastic calculus, practicing written math exams, and refining your C++ and Python skills. Combine this technical rigor with a polished, professional consulting demeanor, and you will stand out as an exceptional candidate.

For more detailed candidate reviews, salary insights, and preparation resources, explore additional community-contributed interview guides on Dataford.

The compensation data reflects the highly specialized nature of quantitative consulting in Paris. When evaluating your offer, consider the base salary alongside performance bonuses, client mission premiums, and the rapid career progression that a premier firm like Lunalogic offers. Your specialized skills in mathematical modeling and financial software development place you in a premium talent bracket.