About the Role

At Wheely, Operations is the core engine of our business. We operate a high-frequency, luxury marketplace where precision is the baseline. As an Associate Operations Manager, you will be responsible for the health of our marketplace. You will work alongside senior leadership to solve complex supply-demand challenges, optimise pricing mechanics, and ensure systemic efficiency across your market.

Responsibilities

• Marketplace Optimisation: Leverage predictive forecasting to anticipate market needs and deploy tactical levers including dynamic pricing, structured chauffeur incentives, and configuration adjustments.
• Operational Analytics: Utilise advanced data analytics to perform deep-dive root-cause analysis on marketplace inefficiencies. You are expected to translate complex data into clear, actionable insights and strategic recommendations that directly influence business performance.
• Strategic Execution & Impact: Own the full execution lifecycle: from deploying localised configurations to monitoring post-launch performance. You will move beyond delivery to validate that every initiative achieves its intended business impact, iterating on tactics in real-time to ensure measurable improvements.
• Product and Operations Link: Act as the strategic link between Product and Local Operations to solve marketplace inefficiencies. You will translate local operational friction into technical requirements to further improve marketplace health and platform functionality.

Requirements

• Academic Excellence: A degree in a highly quantitative field (Economics, Mathematics, Physics, or Engineering) from a top-tier university;
• Quantitative Depth: Exceptional analytical skills with the ability to translate complex data sets into strategic decisions. Proficiency in SQL is mandatory;
• Professional Grit & Ownership: A high-performance mindset with the tenacity to operate in a high-stakes environment. You are a “finisher” who does not stop until the objective is met, and the target is achieved;
• Problem-Solving: A track record of delivering creative, data-backed solutions to ambiguous problems;
• Communication: Exceptional skills with a focus on clarity, structure, and executive-level ownership;
• Emotional Intelligence: Demonstrated EQ with a customer-centric approach, essential for balancing marketplace mechanics with partner satisfaction;
• Ability to work from the Paris Wheely Academy (9th arrondissement) 5 days a week.

What we Offer

• Office-based role in Paris (9th arrondissement)
• Competitive salary
• Employee stock options plan
• Private medical insurance
• Life and critical illness cover
• Best-in-class equipment
• Monthly credit towards Wheely journeys
• Daily Lunch Allowance
• Navigo and Veligo travel
• Professional development stipend

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We’re looking for an experienced recruiter to join our Talent Acquisition team and help drive hiring for quantitative research and trading roles across Europe. This role plays a key part in supporting QRT’s continued growth by securing top-tier talent and reinforcing our local presence.

Your Future Role at QRT
• Drive and execute QRT’s recruitment strategy to attract, hire, and retain high calibre quant research and trading talent for our European offices
• Leverage your existing network across Europe and proactively source candidates through direct outreach, talent mapping, and referrals
• Collaborate with trusted external recruitment partners and agencies to ensure consistent pipeline flow and meet headcount targets
• Own and manage the full recruitment lifecycle via our ATS (Greenhouse), ensuring a high-touch, seamless candidate experience at every stage
• Bring hiring intelligence and market insights to the table - tracking trends, benchmarking competitors, and advising stakeholders

Your present skillset
• 5+ years of experience recruiting in quantitative finance, trading, or investment roles – either in-house or at a leading search firm
• A strong, active network of talent across Europe, and a proven ability to build and sustain candidate relationships over time
• Track record of successful collaboration with external agencies 
• Proficiency with recruiting tools and platforms, especially Greenhouse and LinkedIn
• Data-driven mindset, you use metrics, hiring funnel data, and market benchmarks to inform decisions
• Excellent written and verbal communication skills in English
• Organized, resourceful, you are able to juggle multiple searches with speed and precision
• Self-starter and curious, you like working in a fast-paced, high-performance environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

About the role

We're looking for a Senior UX Researcher who brings rigour and curiosity to both product and marketing research. Someone who's as comfortable running foundational product studies as they are digging into brand perception, buyer mindsets, or how a marketing site actually works for the people using it.

This is strategic, high-visibility work — you'll partner with Product Design, Product Management, Brand, and Marketing to shape what we build and how we tell the world about it.

What makes this role unique:

• Work across both brand and product research, with real influence on each
• Research enterprise developer tools and DevOps workflows — including AI-powered features built for developers
• Fast-paced environment where research directly influences design and business decisions
• Be part of a team of talented, experienced researchers who genuinely invest in each other's growth

What you'll do

• Lead foundational, problem validation, and strategic research projects across your assigned product areas and beyond
• Drive both brand and product research — including buyer persona development, brand perception studies, and digital experience research — that directly informs positioning and messaging
• Be the expert on the users within your area of coverage: their behaviours, pain points, workflows, and goals
• Make connections across research initiatives, surfacing macro insights that no single study could reveal on its own
• Build trusted relationships with Product Design, Product Management, Brand, and Marketing counterparts, guiding them to the right research approach
• Advocate for and socialise actionable insights in a clear and compelling way that increases empathy across the organisation
• Independently drive research prioritisation across stage groups, balancing impact, product direction, and company objectives
• Mentor other researchers and actively shape how the Experience Research team works, through process iteration, documentation, and peer reviews

What you'll bring

• Empathetic, curious and open-minded
• Deep mixed-methods research experience across qualitative and quantitative methods
• A track record in both product research and marketing or brand research
• The ability to guide stakeholders — including senior ones — toward the right approach, even when they arrive with a firm opinion
• Strong instincts for prioritisation across multiple stakeholder groups in a fast-moving environment
• Clear, compelling communication that makes findings land with product, brand, and marketing audiences
• Experience working in a highly iterative, fast-paced environment, with the ability to pivot with sudden changes in direction
• Demonstrated ability to work effectively in a fully remote, globally distributed team — with strong async communication habits
• Self-motivated and self-managing, with strong organisational skills
• Ability to ramp up to a highly technical domain quickly
• Share our values, and work in accordance with those values
• Able to conduct research in a fully remote setting and use GitLab as part of your daily workflow
• Experience working on AI products, particularly for enterprise dev tooling, is a plus
• Experience working on enterprise and/or developer tooling products is a plus

The Enterprise IT Support team is a globally distributed group that supports Datadog employees from day one and throughout their time at the company. In this role, you will hire, develop, and manage a team of Enterprise IT Support Technicians delivering high-touch, white-glove support with a focus on proactive and prompt service. You’ll set clear expectations, measure performance through service levels and operational metrics, and act as an escalation point for complex or high-impact issues. You’ll also partner closely with cross-functional stakeholders to continuously improve the services, tooling, and standards that power employee productivity across the business.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Hire, Coach, And Develop The Team: Recruit, onboard, mentor, and manage Enterprise IT Support Technicians, supporting growth and career development.
• Drive Performance To Operational Targets: Hold the team accountable to SLOs and KPIs to ensure fast, accurate, and consistent end-user support.
• Own Policies, Standards, And Procedures: Create, maintain, and improve support processes, documentation, and operational playbooks.
• Scale End-User Self-Service: Build and promote programs, tooling, and knowledge resources that increase self-service adoption and reduce repeat issues.
• Serve As An Escalation Point: Triage and resolve complex support issues, coordinating with internal partners and vendors when needed.
• Improve Global Support Experience: Partner with stakeholders across Datadog to identify trends, reduce friction, and continuously improve support services.
  
  

Who You Are:

• People Manager Experience: You have experience managing an IT support team in an organization of 1,000+ employees.
• Endpoint And OS Support Background: You’ve supported large fleets across macOS, iOS, ChromeOS, Windows, and Linux environments.
• Metrics-Driven Operator: You can use quantitative performance management (e.g., SLOs, KPIs) to improve outcomes and coach effectively.
• Strong Communicator: You communicate clearly and professionally in writing and verbally with both technical and non-technical partners.
• Customer-First Leader: You love helping people and set a high bar for thoughtful, high-touch employee support.
  Distributed, Fast-Paced Collaboration: You’ve worked effectively across time zones in a high-growth, distributed environment.

Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. 

Benefits and Growth:

• Product training to develop an in-depth understanding of our product and space
• Continuous career development and pathing opportunities for internal mobility 
• Intradepartmental mentor and buddy program for in-house networking 
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• New hire stock equity (RSUs) and employee stock purchase plan
• Free global mental health benefit through Spring Health 
• Generous global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Onsite

Real ownership. Real impact. Build from day one.

Are you an ambitious graduate ready to tackle complex, real-world challenges at the intersection of data, strategy and tech? 

The Future Leaders Graduate Program – Business Analytics at Picnic is a two-year launchpad for exceptional talents. From day one, you join a business team, own a business topic, and become an expert in your field.

At Picnic, we’re building the future of grocery. Using cutting-edge technology and data-driven innovation, we challenge the status quo and build the world’s smartest, most customer-focused supermarket.
We move fast, think big, and turn bold ideas into tangible impact.

Tricks of the trade

• Lead with ambition: Bring your relentless determination, creativity, and grit. Take the driver’s seat and redefine the grocery shopping experience for millions. You will be expected to think independently, move fast, and deliver results.
• Steep learning curve: Your growth comes from owning real problems, testing your ideas, learning from your mistakes and starting again. You'll blend hands-on training with immediate execution, you’ll move at a pace that accelerates your growth like nowhere else.
• Solve real-life puzzles: Spot opportunities, use tools at the forefront of technology, and own the outcome end to end. Not just making slides, but building the solution yourself.
• Innovate across borders: You’ll collaborate with teams across the Netherlands, Germany, and France, tackling challenges that redefine how Picnic operates at a European scale.
• High-performance environment: You’ll work alongside some of the best teams in analytics and tech, people who set a high bar and expect you to do the same.

From learning to leading

In your first six months, you’ll own a business-critical project from start to finish - supported by mentorship, learning sessions, and regular feedback.
You’ll strengthen your leadership abilities like project management, storytelling, stakeholder communication, giving & receiving feedback, while sharpening your skills in Python, SQL, Excel and PowerPoint.

As your scope grows, so does your responsibility. You might scale your initial project or take on new challenges in the same domain. Either way, the pace is yours to set. 

Where you’ll make an impact

From day one, you’ll be embedded in a business team, taking ownership in one of the following domains:

• Consumer - Drive growth through pricing, supplier strategy, and our market strategy. Think: Shaping our successful market entry into new cities. Your decisions shape how millions of customers experience Picnic.
• Tech - Work at the intersection of product and infrastructure, building scalable systems that power our operations. Think: building software and algorithms our FCAs run on or launch new features in our app used by millions.   
• Logistics - Build the backbone of Picnic: robotic fulfilment, demand forecasting, route optimization across Europe and much more

Your superpowers

You don't wait for permission. You see a problem, build the solution, and bring people with you, before anyone asks. You've probably already started something: a project, a product, a business, an initiative that didn't exist until you made it happen.

More specifically, you:

• Are about to graduate (or recently graduated) a Masters in a quantitative field: e.g., mathematics, econometrics, engineering, or similar
• Have experience in high-performance environments: consulting, fast-growth startups, or competitive internships and know what it means to raise the bar.
• Show an entrepreneurial mindset: you build, improve, and take ownership without being asked
• Think like a builder: hands-on, curious, and driven to challenge the status quo with practical solutions
• You have already gained basic knowledge in PowerPoint, Python, SQL, Excel or alternative coding languages 
• EU citizenship or valid EU working permit required.

Many strong candidates (particularly women) talk themselves out of applying because they don't tick every box. If this excites you and you believe you have what it takes, apply. We only hire when we find the right match. That’s why our selection process is intentionally highly selective.

 Why Picnic?

• Grow as we grow. We’re scaling quickly across countries and millions of customers and this is just the start. Grow your impact as we grow; we invest in your path but the driver's seat is always yours.
• Work with other innovators. Work with a driven, energetic team that builds, wins, and celebrates together (think of legendary Friday drinks, our Ski trip and our parties)
• Kickstart your career. Earn a competitive salary and step into a program designed to launch your long-term future at Picnic.

When are you joining? 

• Fall Edition 2026
  Start dates: September, October
  *earlier or later dates can be arranged, please indicate your preference in the application question

• Spring Edition 2027
  Start dates: February, March
  *earlier or later dates can be arranged, please indicate your preference in the application question

📍 Location: Full-time in Paris, with period trips to NL and DE

There is no deadline: Our aim is to find the most ambitious people out there. We onboard talents on a monthly basis, so whether you join in April or August, you’ll always have a group of people sharing the ride. 

Picnic Perks

🚲Health and Transportation
Through our partnerships with Malakoff Humanis and OpenUp, you have the opportunity to enroll in our company health insurance plan, as well as free and easy access to professional psychologists, workshops, and practical tools. Additionally, if you commute to work using public transportation, we reimburse 50% of your subscription cost.

🍉Food
Since we are located in the center of Paris, there is no on-site cafeteria. However, you will receive meal vouchers worth €11 per day to explore all the delicious restaurants nearby. Our small kitchen is also stocked with tasty snacks and refreshments.

📈Personal and Professional Development
You will have the opportunity to develop your skills not only through exciting projects and a dynamic environment but also via training programs offered by Lepaya.

🏖️All the rest
You get 25 days of paid vacation, plus additional rest days (RTT) based on the number of days worked in the year. Picnic provides you with a laptop, a phone, and a paid SIM card.
🚀Access to exclusive deals and perks through our Works Council (CSE) and our partner Swile (gift cards, concert tickets, cinema discounts, and more)

FAQ

Do I need a quantitative background? It's a strong advantage, but not a hard requirement. If your internships and projects demonstrate real hands-on ownership and data-driven thinking, we'll consider your application. You do need a Master's degree, basic knowledge of Python or SQL, and relevant work experience.

Does the program include rotations? No, intentionally. We believe depth creates ownership, and ownership creates impact. Rather than rotating across teams, you’ll go deep in one area, build real expertise, and gradually expand your scope as your impact grows. If you have topic preferences, tell us during the process.

In what language should I apply? English. Please include your CV and Master's degree transcript or any other relevant test scores (e.g., GMAT)

What are the long-term opportunities after the program? This program is a fast track into a high-impact career at Picnic, it’s an entry point for a long-term future, not a two-year stopover. 

Career paths here are as varied as the people on them. Some grow vertically, building deep expertise and a team around them as their project expands. Others move laterally - from Commercial to Fulfilment, Distribution to Customer, or wherever their strengths and ambitions take them. What they share is real ownership, real impact, and a career they shaped themselves.

In a nutshell 

At Picnic, we’re building the future of grocery shopping. Through cutting-edge technology and data-driven innovation, we challenge the status quo, set the standard for the industry, and turn ambition into impact at scale. We move fast, think big, and redefine what’s possible.
If you’re a bold, entrepreneurial thinker who wants real ownership, this is your chance to help create the world’s smartest, most customer-focused supermarket.

As a Business Analyst at Picnic, you’ll be at the forefront of innovation, tackling complex challenges with fresh, groundbreaking and lasting solutions. This role is all about driving impact: you’ll analyze data, identify opportunities, develop strategies that push boundaries and redefine the grocery shopping experience for millions of customers. We believe there’s no puzzle we cannot solve with the team we’re building here.
Which complex problems will you solve at Picnic? From day one, your first project, team, and lead will be chosen to fit your strengths. But the real opportunity is endless: you’ll tackle diverse, high-impact challenges over time across operations, products, and consumer teams.
And the best part? You own your path and your growth every step of the way.

Tricks of the trade

• Solving real-life puzzles. Face business questions like a consultant. See the problem, invent a solution, own the path to success. At Picnic, we treat business questions like puzzles in need of solving. Curious about what these puzzles could be?
• Innovating across borders. Working on projects spanning three countries and contributing to Picnic’s in-house innovation, shaping the business model as we grow and create solutions that have never been done before
• Building sustainable solutions. From concept to implementation, take full ownership, design, build, collaborate with stakeholders, and make your solutions work in the real world
• Owning solutions end-to-end. From concept to implementation, take full ownership, design, build, collaborate with stakeholders, and make your solutions work in the real world
• Leading with ambition. Using your relentless determination, creativity and grit to take the driver's seat and redefine the grocery shopping experience for millions of customers

Your superpowers

• Strong quantitative foundation. You hold a Master’s degree in Engineering, Econometrics, Mathematics, Physics, or a comparable quantitative field
• Proven impact in dynamic environments. 2-4 years of work experience in a fast-paced environment, start-up, or scale up. First touchpoints with business consulting is a big plus!
• Problem-solver at heart. You thrive on complex, real-world challenges and excel at breaking big, ambiguous problems into smart, actionable solutions.
• Clear and confident communicator. Strong communication skills in English which allow you to convert abstract plans into structural solutions for your stakeholders.
• Go-getter with an entrepreneurial mindset. You cut through ambiguity, take initiative, and turn ideas into action. Whether driving projects to delivery or building ventures from the ground up, you always find a way to make things happen.
• Analytical mindset. You have a strong grasp of math, logic, and quantitative reasoning, and bring a data-driven approach. Experience with SQL and Python is a plus.
  

  * Please Note: This is not a one-time hire. We’re hiring for this role throughout the year as part of our ongoing growth and expansion. Additionally, a EU citizenship or valid visa to work in the EU is required for this position.

  Why Picnic?

•  Work alongside the best. You’ll collaborate with some of the most talented and ambitious people in your field, we set the bar high for what we do and who joins our team.
• International perspective. You’ll travel across our European offices and work on international challenges, collaborating with colleagues all over Europe
• Endless growth. Your journey at Picnic starts with two days in operations, experiencing firsthand how we deliver to our customers. Then, you’ll meet your team and dive straight into your first project. From day one, you’ll take ownership. You own your path and the possibilities for growth and impact are endless.
• Young, dynamic, and vibrant teams. To build an extraordinary product, you need extraordinary people and a little fun along the way. We celebrate our successes with legendary parties, team events, Friday drinks and much more!

Picnic Perks 

🚲Health and Transportation
Through our partnerships with Malakoff Humanis and OpenUp, you have the opportunity to enroll in our company health insurance plan, as well as free and easy access to professional psychologists, workshops, and practical tools. Additionally, if you commute to work using public transportation, we reimburse 50% of your subscription cost.

🍉Food
Since we are located in the center of Paris, there is no on-site cafeteria. However, you will receive meal vouchers worth €11 per day to explore all the delicious restaurants nearby. Our small kitchen is also stocked with tasty snacks and refreshments.

📈Personal and Professional Development
You will have the opportunity to develop your skills not only through exciting projects and a dynamic environment but also via training programs offered by Lepaya.

🏖️All the rest
You get 25 days of paid vacation, plus additional rest days (RTT) based on the number of days worked in the year. Picnic provides you with a laptop, a phone, and a paid SIM card.

🚀Access to exclusive deals and perks through our Works Council (CSE) and our partner Swile (gift cards, concert tickets, cinema discounts, and more)

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

• Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
• Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
• ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

Who are we?

iBanFirst is a fast-growing European fintech that is revolutionizing international payments for SMEs. Founded in 2016, our platform empowers Small & Medium Multinationals (SMMs) to regain control over their payment operations: currency conversion (FX), international transactions, and foreign exchange risk management across 140 countries — quickly, transparently, and securely.

We make life easier for SMEs through an advanced technology platform (automation, APIs, AI…) combined with dedicated expertise, offering the best of both worlds: the agility of a SaaS solution and the reliability of a trusted partner.

By simplifying complexity, iBanFirst helps thousands of bold companies seize global business opportunities with peace of mind — delivering simplicity, transparency, and security.

Key figures

• 350+ employees across 14 offices in 11 European countries
• 30+ nationalities represented, average age: 32
• 10,000 corporate clients trust us
• €80M in revenue in 2025, with a target of around €100M in 2026
• Profitable for nearly two years
• Ranked for 6 consecutive years in the Financial Times FT1000, among the fastest-growing European companies
• An NPS of 87.5 — an exceptional score in our industry that reflects enthusiastic client feedback on the simplicity, speed, and quality of our service

A strong culture built around 4 core values

• Team First: The complexity of our industry demands collective intelligence. We prioritize cooperation, transparency, and knowledge sharing. Success is a team effort, and decisions are made together.
• Tenacity: We're transforming a challenging and highly regulated market. It requires endurance, fast learning, and resilience — qualities rooted in our entrepreneurial DNA.
• Transformation: Innovation is not a buzzword; it's a necessity in a constantly shifting and strategic sector. We innovate with intent: every technical, product, or organizational improvement is designed for real impact.
• Trust: Trust is the foundation of everything we build — with our clients and, above all, internally. It's driven by ownership, autonomy, and a shared commitment to transparency, rigor, and reliability.

Why join us?

• We operate at the heart of a strategic and fast-evolving sector: international payments for SMEs — a complex, high-potential market.
• We're driven by a meaningful mission: helping bold "Small & Medium Multinationals" succeed globally.
• Our platform integrates cutting-edge technologies (AI, automation…), making it an ideal playground to test, learn, and innovate continuously.
• You'll join an agile environment where your expertise has tangible impact, working alongside talent from top financial institutions.
• iBanFirst is profitable and backed by long-term investors:
  • Xavier Niel and Bpifrance, historical shareholders, have supported and trusted us from the beginning
  • In 2021, the entry of Marlin Equity Partners marked a new chapter in our international ambitions

Joining iBanFirst means joining a profitable, international, fast-growing tech company. It's also a chance to learn, grow, and contribute directly to a shared ambition: simplifying international finance for SMEs.

The Role

Recruitment Context

We are opening this position with the strategic objective of strengthening the seniority level of our Data Analytics team. We are looking for experienced profiles who can take full ownership of cross-functional projects, act as true business partners, and help elevate the team's overall impact across the organization.

Manager & Team

You will report to Fatimata Sall, Head of Data at iBanFirst.

You'll be joining a Data Analytics team of 7 people, including:

• 2 Team Lead Data Analysts
• 3 Data Analysts

The team collaborates closely with all business functions: Finance, Sales, Compliance, Product, Marketing, and Operations. 2026 is an exciting year for the team, with three strategic priorities driving our roadmap: enabling self-service analytics, strengthening data infrastructure and processes, and raising the bar on data quality and governance. You will play a central role in all three.

What will you do?

We are looking for a passionate and highly motivated Senior Data Analyst to join our Data Analytics team. In this role, you will act as a strategic business partner across all functions, driving data-driven decision-making and delivering actionable insights that shape iBanFirst's growth.

You will bridge the gap between business needs and technical implementation, leading complex analytics projects end-to-end while championing scalable, high-quality data practices.

Task breakdown (indicative):

• 70% — Business partnering, analysis & reporting: Work hand-in-hand with business teams to understand their needs, translate them into analytical frameworks, and lead complex cross-functional data projects. Build and maintain strategic dashboards and reports; perform advanced analyses (cohort, attribution, forecasting) and deliver clear recommendations.
• 30% — Technical contribution & data quality: Write high-quality SQL, contribute to data models, and help drive data governance and self-service & AI initiatives.

Key responsibilities:

Strategic Analytics & Business Partnership

• Act as the go-to analytics expert for all business domains (Finance, Sales, Compliance, Product, Marketing, Operations)
• Translate complex business challenges into analytical frameworks and deliver actionable insights
• Proactively identify improvement opportunities and lead strategic data initiatives end-to-end
• Foster a data-driven culture through training, best practice sharing, and stakeholder enablement

Advanced Analysis & Reporting

• Lead complex, cross-functional analytics projects involving multiple data sources
• Build strategic dashboards and reports that empower teams to make data-driven decisions autonomously
• Perform advanced ad-hoc analyses and deliver clear, actionable recommendations

Technical Excellence & Scalability

• Write high-quality SQL code following best practices (version control, code reviews, testing)
• Design and build robust, scalable data models using dbt and Snowflake
• Enable self-service analytics by building reusable data products that reduce dependency on the data team
• Contribute to improving data quality standards and governance practices across the team

Tools you'll work with: Snowflake, dbt (Data Build Tool), Tableau, Metabase, Git, Dust

Role Objectives

First 3 months:

• Get up to speed with our data stack, business context, and team ways of working
• Build strong relationships with key business stakeholders
• Take ownership of initial projects and start delivering value independently

First 6 months:

• Operate fully autonomously on your scope of business domains
• Lead at least one cross-functional data project end-to-end
• Actively contribute to self-service and data quality initiatives

First 12 months:

• Be recognized as a strategic data partner by the business teams you support
• Contribute meaningfully to the evolution of team processes and standards
• Support junior team members and help raise the overall seniority of the team

Objectives are reviewed quarterly and combine both qualitative and quantitative metrics, aligned with the team's three strategic pillars.

What do you bring?

Experience:

• 5+ years of experience as a Data Analyst, ideally in a start-up or scale-up environment
• Proven track record delivering complex analytics projects with measurable business impact

Must-have skills:

• Outstanding communication and interpersonal skills — you know how to make data accessible to non-technical audiences and build strong relationships with business stakeholders
• Strong project management skills — you can independently structure and drive long-term, multi-stakeholder data projects
• Leadership mindset — you're comfortable driving change, supporting teams through transformation, and taking ownership
• Technical proficiency: expert SQL (Snowflake is a plus), dbt or similar transformation tools, and strong experience with Tableau and/or Metabase
• Business acumen — you understand the broader context behind the numbers and can translate requirements into analytical frameworks
• Fluent in both French and English (the team is predominantly French-speaking)
• Passion for code quality, scalability, and self-service analytics
• Comfortable with ambiguity and fast-paced environments

Nice to have:

• Experience in FinTech or financial services (transactional data, regulatory reporting)
• Previous management or mentoring experience
• Knowledge of Python or data quality frameworks

What do we offer?

Contract & benefits

• Permanent contract (CDI)
• Office location: Paris
• Hybrid work policy: Approximately 3 days per week in the office. The team typically aligns on office days together (usually Tuesday and Thursday), with flexibility for individual needs.
• Compensation: €60,000 to €65,000 gross annual salary
• Swile meal card
• Axa health insurance
• Commuter benefits
• RTT (extra paid days off)
• Gymlib subscription
• Paid parental leave

Grow at iBanFirst

• Build deep expertise in the fast-growing FinTech/Paytech industry with a modern, cutting-edge data stack (Snowflake, dbt, Tableau/Metabase, Airflow, Catalog, Dust)
• Grow your data analytics and business partnering skills in a scaling international company
• Enjoy autonomy and ownership on impactful projects — your work directly influences strategic decisions across the company
• Thrive in a multicultural environment, with 14 offices across Europe and colleagues from diverse backgrounds
• Join a tight-knit, high-performing data team known for its great team spirit and genuine collaboration
• Participate in company-wide events: team offsites, company parties, and regular social activities

Recruitment Process

1. Screening call with Malorie Petitjean (Talent Acquisition Specialist)

— 30 minutes – remote (video)

— Purpose: General fit, motivation, salary expectations, availability

2. In-depth interview with Fatimata Sall (Head of Data) + Alex B. (Senior Data Analyst)

— 1 hour – in-person (preferred)

— Purpose: Role-specific skills, business acumen, technical depth, collaboration style. Includes a live case discussion (no take-home assignment) to assess problem-solving approach and analytical thinking. Opportunity to meet part of the team informally.

3. Final round with Julien Molez (N+2)

— 45 minutes – remote (video)

— Purpose: Leadership validation, strategic alignment, long-term potential

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a Freelance position based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (Freelance) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP
• (Optional): LangChain, LlamaIndex
  
  

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs

Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents

ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output
  
  

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

Traditional password managers are no longer enough to keep up with threats, leaving critical gaps across enterprise tech stacks. Dashlane Omnix™ is modernizing password security and closing these gaps by taking a proactive approach. We empower enterprises with day-one password protection and visibility, automating risk response and securing employee credentials inside and outside the vault to protect against credential-based breaches.

Product Management at Dashlane

Do you get energized by problems that sit at the intersection of security, trust, and everyday user behavior? Are you the kind of PM who digs deep into data, talks directly to customers, and turns ambiguous challenges into clear, compelling roadmaps? At Dashlane, we are working to redefine what credential security looks like — not as a passive storage product, but as an intelligent system that actively prevents risk, surfaces threats reliably, and proves its value to the businesses that depend on it. AI is central to how we are building that future: shaping our product strategy, accelerating how we deliver, and creating experiences that are smarter and more proactive for our customers. If that sounds like the kind of mission you want to wake up for, we'd love to meet you.

About the role

As a Product Manager at Dashlane, you will own the roadmap for one of our most strategically important product areas — credential protection that underpins our security promise. You will work daily within an Engineering Product Design triad along with staff engineers and data analysts to ship high-quality solutions that help businesses prevent credential risk, remediate threats, and demonstrate measurable security improvements to their stakeholders. Your work will span the full product lifecycle: from understanding the nuanced needs of enterprise admins and end users, through defining crisp problem statements and hypotheses, to shipping and iterating rapidly. You will bring business judgment to prioritization decisions, translate customer and market insights into a compelling roadmap rationale, and be accountable for real outcomes.

Location-specific information

This role is based in Paris, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.

At Dashlane you will:

• Own the roadmap for a set of product capabilities — including credential sharing, vault security features, and risk surfacing — keeping it continuously prioritized, clearly justified, and connected to measurable business and customer outcomes.
  
  
• Apply strong business judgment to prioritization: understanding the commercial, competitive, and customer dimensions of every tradeoff, and grounding decisions in technical realities to build a shared, well-reasoned roadmap - communicating a compelling rationale to your team and stakeholders.
  
  
• Bring deep customer empathy to every decision: consistently imagining yourself in the shoes of both the administrator and end user, thinking holistically about their experience and requirements — and balancing that perspective thoughtfully against the pragmatism of MVPs and incremental delivery.
  
  
• Drive discovery and delivery: Working with your EPD triad, validate problems before investing in solutions, scope work small to learn fast, help manage the team's backlog, and ship iteratively with a consistent cadence and high quality bar.
  
  
• Become the domain expert on your product area — deeply understanding how admins and end users think about credential security, what drives insecure behaviors, and how Dashlane can provide a demonstrably better alternative.
  
  
• Define clear success criteria at every level — from sprint goals and user stories to KPIs — and hold yourself and your team accountable for driving impact.
  
  
• Partner with Engineering Management — co-facilitate team rituals and ceremonies, bringing energy and shared ownership to the team's ways of working. While the EM leads on the people side, the PM and EM are united by the same goal: a high-performing, motivated team that ships great work.
  
  
• Collaborate fluidly with engineers — engaging confidently with technical topics and architectural discussions, partnering with engineering early in the solution discovery phase, and constructively challenging solutions, without needing to be an engineer yourself.
  
  
• Collaborate with PMs — work closely with fellow product managers to break new ground on innovative projects, share strategic thinking, exchange feedback, and continuously improve how we work as a product team — including staying at the forefront of how AI can sharpen our craft, accelerate discovery and delivery, and help us stay ahead of the competition.
  
  
• Work across functions — partnering closely with Design, Data & Analytics, Product Marketing, Customer Support, and Sales to ensure every product change ships as a complete, well-considered experience with the right go-to-market and support in place.
  
  
• Communicate with clarity and conviction — aligning your team on strategy and priorities, sharing results (the good and the bad) with broader stakeholders, and keeping your manager informed with focused, concise updates.

Requirements:

• 3–6 years of experience in a product management role, or an equivalent combination of experience and education.
  
  
• Demonstrated ability to own a product area end-to-end: from problem definition and prioritization through to delivery and outcome measurement.
  
  
• Strong business acumen — able to connect product decisions to commercial outcomes, understand market dynamics, and frame roadmap priorities in terms of customer and business value.
  
  
• Comfortable engaging with technical topics and engineering discussions: able to understand how systems work, ask sharp questions, and challenge solutions constructively — without needing an engineering background.
  
  
• A genuine interest in AI backed by hands-on practice — actively weaving AI into the day-to-day craft of product management, with the confidence to identify and champion where it can create meaningful value inside the product for our customers.
  
  
• Strong written and verbal communication skills in English — able to write crisp problem statements, clear 1-pagers, and compelling roadmap rationale.
  
  
• Experience working with data and analytics to inform decisions — able to define metrics, interpret results, and identify actionable next steps.
  
  
• Experience conducting customer research and translating qualitative and quantitative insights into product decisions.
  
  
• Ability to manage a team backlog, write well-crafted user stories, and apply agile practices to maintain a healthy, forward-looking delivery rhythm.
  
  
• You must be legally eligible to work in France.

We're Also Looking For:

• Genuine curiosity about security, privacy, or enterprise SaaS — you don't need to be a security expert, but you should find these problems intrinsically interesting. Bonus points if you're excited by longer-term challenges on the horizon, like the implications of agentic browsing for credential security and what it means for the future of credential security.
• A bias toward action and "progress over perfection" — comfortable making decisions with incomplete information and iterating quickly.
  
  
• Experience working on B2B products and familiarity with the dynamics of selling to and serving enterprise admins and IT teams.
  
  
• A collaborative spirit and low ego — as comfortable deferring to others' expertise as you are asserting your own point of view.
  
  
• Intellectual honesty: willing to share results transparently, learn openly from failures, and update your thinking when the evidence points another way.

Notre équipe Transport&Customs Engineering recherche un·e ingénieur.e développement logiciel backend basé·e à Lille.

Au cœur de Value Chain et rattaché à Decathlon Digital, les équipes united du sous domaine Fulfillment, Logistics, Transport and Customs (FLTC) ont un rôle très important à jouer avec un impact direct sur l’expérience client à travers la disponibilité de nos produits et les délais de livraison. 

Notre équipe Transport&Customs Engineering design, développe et assure la maintenance de nos outils digitaux interconnectés avec un écosystème Decathlon complexe qui permet la gestion de la chaîne de valeur de bout en bout. Ces outils sont réparti sur deux périmètres : 

Transport : plusieurs produits digitaux pour gérer le transport international (upstream) et les flux de transport locaux (downstream) de nos produits et composants. Ces produits digitaux interviennent depuis nos fournisseurs jusqu’au client final.Customs : Des outils digitaux pour les douanes permettant le référencement de nos produits et composants, le calcul des taux et la génération des documents douaniers ainsi que les opérations de déclaration et dédouanement à la sortie/entrée d’une zone douanière.

TA FUTURE MISSION

Rejoignez l'équipe Douane - Référentiel! Historiquement basée sur des outils monolithiques (Legacy) générant une complexité de référencement et une forte imprévisibilité des coûts à payer en douane, nous sommes en pleine transformation. Notre vision est de créer une source intelligente et malléable à fin que notre référentiel soit une source de vérité unique. L'utilisation de l'IA pour l'auto-classification et l'optimisation dynamique des droits de douane, transformera la douane à Decathlon et fera de la conformité, un levier stratégique de compétitivité.

Pour répondre à ces challenges, tout en permettant la croissance du business de Decathlon, nous cherchons à renforcer l’équipe produit Ref&Calcul par un développeur backend/fullstack expérimenté qui va travailler avec le reste de l’équipe et en se référant au inputs business pour développer from scratch la solution de référencement des produits et composants et de calcul des taux de douanes. Il sera aussi amené à faire du support niveau 3 sur des solutions existantes et de celles qu’il développera.

Une attention particulière sera apportée quant à l’autonomie requise pour les développements, autant que sur le partage d'expérience et de compétence.

TON EXPERTISE 

Une expérience en développement dans des contextes agiles est fortement appréciée.

Le profil doit être intéressé et volontaire sur du Backend et capable d'appliquer et de différencier les bonnes pratiques de développement

Communiquant et force de proposition, tu dois aussi savoir faire preuve de transparence, gérer tes priorités, et être impliqué autant dans la réussite du/des projet(s) que dans la réussite de tes collègues

Compétences Requises

• Concept : BDD, TDD, DDD, Clean Architecture / code, …
• Back : Java 17+, SpringBoot, RESTful API, Kafka, kafka connect, OpenAPI, Oauth2, JWT, …
• Architecture Microservices
• Infra & Database : Docker, Kubernetes (GKE, EKS), Vault, postgres, mongodb
• Deploy : Github - Github Actions, Flux, Helm
• Tools & Monitoring : SonarQube, Datadog, Bruno, Gravitee…
• Testing : Cucumber, Gatling, testContainers…

Compétences Souhaitées

• Front : React, Typescript, Javascript, NextJS, TailwindCSS
• Testing : Cypress ou Playwright, Jest ou Vitest, Gatling, X-RAY

Qualités attendues

• Ecoute, communication, transparence
• Autonomie
• Rigueur et organisation
• Sens du service

CE QUE NOUS T’OFFRONS

• 2 jours de télétravail par semaine ;
• Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac, Windows, ou Chromebooks) ;
• Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ;
• Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) ;
• Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels).

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

• Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
• Overseeing automated trade execution and monitoring transaction costs.
• Supervising a small team of researchers and developers on a daily basis.
• Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.
• Performing research to acquire historical and production data sources needed to build investment models.
• Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers.
• Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.
• Using quantitative models to value securities.
• Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.
• Developing aspects of successful statistical models, focusing on forecasting and optimization.
• Expanding trading universe and volume and expanding to other exchanges and products.

REQUIREMENTS

• Advance degree (Masters or Ph.D.) in a computational or analytical field.
• Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX.
• Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
• Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior. 

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

RESPONSIBILITIES

• Conduct original quantitative alpha signal research
• Follow, digest and analyze the latest academic research
• Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
• Build analytical tools to supplement our shared research framework 

REQUIRMENTS 

• B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or comparable language) and working knowledge of SQL
• Strong analytical and quantitative skills.
• Willingness to take ownership of his/her work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• Detail-oriented.
• Prior experience in the financial services industry is not required. 
• A commitment to the highest ethical standards. 

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

JOB DESCRIPTION

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

DESIRABLE CANDIDATES

• MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
• Strong analytical and quantitative skills
• Demonstrated ability to conduct independent research utilizing large data sets
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

Job Description

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.

Job Responsibilities

• Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
• Identify features and relationships useful for the predictive modeling of market dynamics

Desirable Candidates

• Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Strong analytical and quantitative skills
• Demonstrated interest in financial markets and systematic trading
• Clear, concise, and proactive communicator
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

The Brattle Group is looking for a Stagiaire – Research Analyst in International Arbitration, to work out of our Paris office.

ABOUT THE BRATTLE GROUP AND ECONOMIC CONSULTING

The Brattle Group is a leading global economic and litigation consulting firm. We provide expert analysis and testimony in legal disputes, regulatory proceedings, and business strategy. Our teams apply economic, financial, and analytical expertise to solve complex problems and provide strategic insights for our clients. At The Brattle Group, we bridge the gap between economic theory and real-world application, helping clients make informed decisions in areas such as corporate finance, energy, competition, and regulatory economics.

WHAT IS ECONOMIC CONSULTING?

Economic consulting involves using economic theories, quantitative methods, and data analysis to address legal and business challenges. Consultants work on high-stakes projects, providing expert testimony and strategic advice to law firms, corporations, and government agencies. Our work influences major decisions and outcomes in legal cases and business strategies worldwide.

STAGIAIRE - RESEARCH ANALYST, INTERNATIONAL ARBITRATION  

We are seeking an intellectually curious team player with strong quantitative and analytical skills to join our Paris office as a Research Analyst Intern for a 6-month internship (stage) starting between July - September 2026. This internship will support our International Arbitration practice, where you will participate in project teams with senior consulting staff and leading industry experts, analysing complex matters such as asset valuation, international arbitration in the energy market and varied infrastructure related projects.

About the Role

As a Research Analyst Intern, you will play an integral role in project teams, contributing to complex economic and financial analyses related to international disputes. You will gain hands-on experience in economic consulting and develop practical skills in corporate finance, data analysis, and research.

Typical Responsibilities

• Combining economic theory and industry knowledge to solve real problems
• Constructing models grounded in economic and financial theory to answer complex questions related to damages and valuation
• Diving into data, using statistical analyses to extract information from messy data
• Reviewing literature and industry trends to understand the debate around key developments
• Analysing companies and markets; understand and perform statistical/econometric analysis and valuation work.

WHY BRATTLE?

• Gain hands-on experience in economic consulting with exposure to international arbitration cases.
• Work in a collaborative, intellectually stimulating environment alongside experts in the field.
• Benefit from ongoing professional development and training opportunities.
• Be part of a diverse and dynamic team within a globally recognised firm.
• Monthly stipend of €2,100, plus meal vouchers (partially funded) and 50% reimbursement of eligible transportation costs.

THE IDEAL CANDIDATE

• Currently pursuing a Master's degree in Economics, Finance, or a quantitative discipline with strong academic performance, seeking an end-of-studies internship and eligible for a Convention de Stage.
• Strong analytical and problem-solving skills, with the ability to interpret data.
• Solid experience with data analysis tools such as Excel, Python or R is highly desirable.
• Strong written and verbal communication skills in English & French (fluency in another European language is a plus).
• A proactive, detail-oriented mindset with the ability to work collaboratively in a team environment.

THE PROCESS

Please submit the following materials through the link below:

• Cover letter
• Resume
• Transcript(s) (unofficial copies accepted)

Algolia’s Engagement Management Practice is a core driver of our strategic Onboarding Program, partnering with technical and business stakeholders to deliver structured professional services that bring customers live efficiently and with measurable impact. 

As a Technical Onboarding & Engagement Manager, you will be accountable for the end-to-end ownership of multiple concurrent, complex customer implementations, leading engagements from mobilization through production launch with disciplined execution and strong command of Algolia’s product suite and post-sale offerings. 

This role requires exceptional customer-facing presence, operational rigor, decisive stakeholder leadership, and proactive risk management. You will be expected to establish clarity in scope, uphold delivery standards, and consistently meet defined timelines and success criteria to ensure customers achieve durable, long-term value from their investment in Algolia

Your Role Will Consist of:

• Partnering with Account Executives and Solution Engineers to ensure a structured and efficient pre-to-post sales handoff, validating scope, success criteria, resource allocation and implementation readiness.
• Defining AI Search requirements and detailed project plans in collaboration with Professional Services teams.
• Owning technical engagement management across a portfolio of onboarding services, serving as the primary point of contact, while leading day-to-day execution and high performing culture alongside Solutions Architects, Business Consultants, and Engineering.
• Partnering with Global System Integrators (GSI) on product, service and delivery strategies.
• Driving project governance and accountability, managing milestones, dependencies, deliverables, hours/budget, and quality expectations.
• Providing clear, structured communication on project health, progress, risks, and strategic recommendations to customer, internal stakeholders and executives.
• Proactively identifying and mitigating risks, removing blockers, and executing contingency plans to protect timelines and outcomes.
• Acting as the voice of the customer when product gaps are identified, raising awareness as needed.
• Recognizing opportunities for upselling of professional services due to Onboarding extension requirements, customer engagement structure requirements and project velocity that would not be met by the post go live Foundation support model.
• Leading structured post-go-live transitions to the Customer Success Manager and Technical Account Owner, ensuring effective knowledge transfer, clear ownership, and sustained customer confidence post-launch.
• Contributing to the scalability of the Engagement Management Practice by identifying opportunities to automate and optimize onboarding processes, tools, and playbooks.

You Might Be A Fit If You Have:

• 4+ years working knowledge of search, data, and AI technologies, with the ability to translate business requirements into structured implementation plans
• 5+ years of customer-facing Technical Engagement Management experience in an agency or SaaS environment, working closely with Solutions Architects or Engineering across engagements throughout the IT project lifecycle. 
• Experience applying project management methodologies such as Waterfall, Scrum, Kanban, or hybrid models to deliver successful outcomes
• Demonstrated ability to operate effectively in a fast-paced, dynamic environment with strong organizational discipline and attention to detail.

Nice To Have:

• Project Management or Agile Certification (PMP, SAFe, Six Sigma)
• Technical degree in computer science, engineering, or related quantitative field
• Understanding and use of project management systems which may include Smartsheet, MS Office, Jira | Atlassian, Google Suite, Salesforce, Thoughtspot, Asana, Gainsight and Toggl 
• Professional fluency in a second European language, preferably German
• Working knowledge of SQL

#LI-Remote

About Charles River Associates

Charles River Associates is a leading global consulting firm that offers economic, financial, and strategic expertise to major law firms, corporations, and governments around the world. Since 1965, CRA experts have combined rigorous cutting-edge research, state-of-the-art methodology, and proven experience to address our clients’ most complex challenges.

CRA's European Competition practice specialises in providing economic advice on matters of competition policy and regulation. We assist firms and their legal advisors in all types of competition proceedings before competition authorities and courts: mergers and acquisitions, abuse of dominance allegations, cartels, restrictive commercial agreements, market investigations, litigation and disputes, intellectual property or state aid. We also provide advice to regulatory authorities in similar matters.

Learn more about our work by reviewing our Services and Industries on our website.

Practices seeking to hire candidates with this profile include (hiring locations listed):

• Antitrust & Competition Economics (Brussels, Belgium; London, UK; Dusseldorf and Munich, Germany; Paris, France)

Position Overview

Senior Associates work closely with senior consultants on project teams, and will have the opportunity to immediately work on some of the largest, high profile and most significant competition cases in Europe, playing a key role in shaping the economic analysis and thinking of these cases. Successful candidates have a strong knowledge of economic concepts and a range of research and quantitative skills. A typical Senior Associate would:

• Identify and conceptualise issues, specifying rigorous economic models to analyse market issues and data, undertaking statistical and econometric estimation, and managing the work of research associate staff and colleagues;
• Supervise, train and mentor research associate staff;
• Assist in the development and presentation of client deliverables, including expert reports and white papers summarising opinions, conclusions, and recommendations using market, industry or client-proprietary data;
• Act as a primary point of contact for lawyers and other industry or government clients on a variety of practice-relevant issues;
• Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, Python, R, SAS, Matlab, and Mathematica), including large data projects requiring use of cloud computing;
• Ensure the integrity and accuracy of analyses and opinions; and
• Contribute to practice-building activities (training, recruiting, publication, expertise sharing, etc.).

Explore how CRA can help you launch your career and learn why PhDs choose CRA.

Desired Qualifications

• PhD degree in economics with a completion date of December 2025/Summer 2026 and an academic focus on Applied Microeconomics or Applied Microeconometrics, with specializations like industrial organization, labor, health, behavioural and public economics, or other quantitative areas;
• Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS);
• Demonstrated understanding of, and ability to explain, economic, financial and/or accounting concepts, and quantitative and qualitative analysis methods;
• Curious and analytical thinkers who bring creative approaches to non-standard problems;
• Effective written and oral communication skills;
• Eagerness to learn new skills and programming languages;
• Demonstrated high level of initiative and leadership;
• Strong teamwork and collaboration capabilities;
• Excellent time management and task prioritization skills; and
• Clear and demonstrated interest in consulting through coursework, work experience, activities, or attendance at CRA recruiting events.

As much of our work occurs in our offices, minimal travel is required.

To Apply

To be considered for a position in Europe, submit through this posting:

• • Resume/CV – please include current address, email and telephone number;
  • Covering letter – please describe your interest in CRA and how this role matches your goals. Also, please note if you have a location preference;
  • Research/Job market paper – please submit your original research or dissertation;
  • Letters of Recommendation – please have three (3) LORs submitted directly to LORSubmission@crai.com.

To apply for one of our North American locations, please visit our Careers Site to view available jobs.

Interviews will begin following application close, with first round interviews occurring virtually. Candidates focusing their search on industry and consulting who need to be considered early should indicate that in the CRA online application and submit all materials as early as possible.

Career Growth and Benefits 

• CRA’s robust skills development programs, including a commitment to offering 100 hours of training annually through formal and informal programs, encourage you to thrive as an individual and team member. Beginning with project management skills, training continues with team management/development, client presentation skills, internal seminars, and career mentoring and performance coaching from an assigned senior colleague. Additional leadership and collaboration opportunities exist through internal firm development activities.
• We offer a comprehensive total rewards program including a competitive salary and superior benefits package (plus a sizeable performance bonus), wellness programming to support physical, mental, emotional and financial well-being, and in-house immigration support for foreign nationals and international business travelers.

Work Location Flexibility

CRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognize that individuals realize a range of benefits when working from home periodically. We currently expect that individuals spend at least 3 to 4 days a week working in the office (which may include traveling to another CRA office or to client meetings), with specific days determined in coordination with your practice or team.

Our Commitment to Diversity

Charles River Associates is an equal opportunity employer (Equality Act 2010). As part of our focus on equity and inclusion, we work to ensure a fair and consistent hiring process. We celebrate diversity and we are committed to an inclusive work environment.

About Charles River Associates

Charles River Associates is a leading global consulting firm that offers economic, financial, and strategic expertise to major law firms, corporations, and governments around the world. Since 1965, CRA experts have combined rigorous cutting-edge research, state-of-the-art methodology, and proven experience to address our clients’ most complex challenges.

CRA's European Competition practice specialises in providing economic advice on matters of competition policy and regulation. We assist firms and their legal advisors in all types of competition proceedings: firms considering merger and acquisition opportunities or involved in merger control proceedings; and firms undergoing investigations relating to cartels, restrictive commercial agreements, abuse of dominance or state aid. We also provide advice to firms involved in regulatory proceedings and sector inquiries, and assist on the estimation effects of damages in cartel cases, international arbitration and intellectual property disputes.

For more information on the Antitrust and Competition Economics practice in Europe visit http://ecp.crai.com.

Position Overview

Consulting Associates, Senior Associates and Associate Principals assist Vice Presidents and other senior staff by providing conceptual and practical input to competition case work as required. The role brings with it the possibility of working on some of the largest and most significant competition cases in Europe, playing a key role in shaping the cases. Candidates may be Master's, PhD and experienced consultants with prior consulting and competition policy experience. Depending on the level, our Consulting Economists may:

• Identify and conceptualise issues, specifying rigorous economic models to analyse market issues and data, undertaking statistical and econometric estimation, and managing the work of research associate staff and colleagues;
• Supervise, train and mentor research associate staff;
• Assist in the development and presentation of client deliverables, including expert reports and white papers summarising opinions, conclusions, and recommendations using market, industry or client-proprietary data;
• Act as a contact or primary point of contact for lawyers and other industry or government clients on a variety of practice-relevant issues;
• Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, Python, R, SAS, Matlab, and Mathematica), including large data projects requiring use of cloud computing;
• Ensure the integrity and accuracy of analyses and opinions; and
• Participate in, or contribute to, practice-building activities (training, recruiting, publication, expertise sharing, etc.).

Desired Qualifications

• Educational and work experience qualifications differ by position:
  • Consulting Associate: MSc/MPhil in economics from well-regarded institutions with a strong foundation in microeconomics, preferably with a specialization in industrial organization or statistics/econometrics, a good first degree in economics, plus up to 3 years of professional work experience in consulting, business, or with a competition authority,
  • Senior Associate: PhD/DPhil in economics from well-regarded institutions with a strong foundation in microeconomics, preferably with a specialization in industrial organisation or statistics/econometrics, a good first degree in economics, and up to 3 years of professional work experience in consulting, business, or with a competition authority OR a MSc/MPhil with a similar background, plus 3-5 years of professional work experience in consulting, business, or with a competition authority,
  • Associate Principal: PhD/DPhil in economics from well-regarded institutions with a strong foundation in microeconomics, preferably with a specialization in industrial organisation or statistics/econometrics, a good first degree in economics and 3-5 years of professional work experience in consulting, business, or with a competition authority OR a MSc/MPhil with a similar background, plus 5-9 years of professional work experience in consulting, business, or with a competition authority;
• Fluency in English and French, additional fluency in Dutch and/or German desirable;
• Demonstrated understanding of economic concepts, competition/regulatory authorities, competition policy and quantitative and qualitative analysis methods;
• Exceptional written and oral communication skills;
• Demonstrated high level of initiative and leadership;
• Strong teamwork and collaboration capabilities;
• Excellent time management and task prioritisation skills.

To Apply

Applicants should submit the following materials for immediate consideration:

• Curriculum Vitae – please include current contact information;
• Covering letter – please describe your interest in a role with CRA's Antitrust and Competition Economics practice in Paris and how this role matches your goals;
• Academic results – for the most recent academic program (if earned within the past 2 years).

Work Location Flexibility

CRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognize that individuals realize a range of benefits when working from home periodically. We currently expect that individuals spend at least 3 to 4 days a week working in the office (which may include traveling to another CRA office or to client meetings), with specific days determined in coordination with your practice or team.

Our Commitment to Diversity

Charles River Associates is an equal opportunity employer. As part of our focus on equity and inclusion, we work to ensure a fair and consistent hiring process. We celebrate diversity and we are committed to an inclusive work environment.