Programme duration: From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.    

Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree. 

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 our 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.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

 Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   

Trading 

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests. 

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

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 

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 our 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.

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

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.

Why Tamara?

We’re proud to be Saudi’s first FinTech unicorn.

Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.

If this sounds like you: curious, driven, and ready to build, we’d love to meet you

Apply now and join the next generation of Builders!

About Tamara's Builders Program 

At Tamara, we believe exceptional talent deserves an exceptional launchpad.

Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.

Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.

About the role

We’re looking for a fresh graduate or early-career Associate Data Scientist on a builder path.

This role blends product thinking, applied statistics, and production-minded analytics. You will:

• turn ambiguous problems into measurable questions
• build reliable measurement (metrics and experimentation)
• create lightweight models and decision tools that teams can use in real workflows
• partner closely with engineering, product, and risk to improve customer outcomes and business performance
• build AI-assisted decision workflows (for example, LLM-powered analysis copilots backed by a curated metrics layer, with clear guardrails and validation)

With the advancement of AI, we value people who have strong fundamentals and clear thinking. Understanding data generation, measurement, tradeoffs, and how to validate results matters more than memorizing tools. You'll learn how to use AI responsibly to move faster, while still owning correctness, robustness, and interpretation.

Your responsibilities

• Define problems and measurement
  • Translate product or business questions into testable hypotheses and clear success metrics.
  • Build and maintain metric definitions and analysis templates so decisions are consistent and repeatable.
• Experimentation and causal thinking
  • Design, analyze, and interpret A/B tests (and quasi-experiments when randomization is not possible).
  • Partner with product and engineering to ensure correct tracking, guardrails, and experiment quality.
• Modeling for decisions (practical ML)
  • Build baseline predictive and segmentation models (for example, churn propensity, risk signals, customer clustering) with clear evaluation and limitations.
  • Focus on models that are actionable: who will use them, when, and what decision they change.
• Applied AI (LLMs) for analytics and decisioning
  • Prototype small, safe LLM use cases that improve how teams explore data (for example, natural-language Q&A over a curated dataset, summarizing experiment results, or generating investigation checklists).
  • Help define evaluation and validation approaches for AI-assisted outputs (sanity checks, golden queries, offline test sets, and human review loops).
  • Partner with platform and security stakeholders to ensure AI workflows are permissioned correctly and avoid leaking sensitive data.
• Analytics that ships
  • Create reusable, well-documented analysis assets: datasets, feature tables, notebooks, dashboards, and simple services or jobs.
  • Collaborate with data engineering to productionize reliable pipelines where needed.
• Data quality and reliability
  • Validate data inputs, monitor key metrics, and investigate anomalies.
  • Document assumptions and build sanity checks so analyses and models are trustworthy.
• Responsible use of AI tools
  • Use AI to accelerate coding, documentation, and exploration.
  • Validate AI outputs, protect sensitive data, and follow safe data handling practices.

Your expertise (must have)

• Fresh graduate or < 1 year of relevant experience (internships, capstone projects, or part-time roles count).
• Strong SQL fundamentals (joins, aggregations, window functions).
• One programming language for data (preferably Python) with basic skills in:
  • Data manipulation (tables/dataframes)
  • Statistics fundamentals (distributions, sampling intuition, confidence basics)
  • Basic modeling (regression/classification basics and evaluation intuition)
• Strong analytical thinking:
  • Ability to define a problem, validate data, and explain results clearly.
• Strong attention to detail and commitment to accurate, reliable outputs.
• Ability to work effectively in a team-oriented environment.

Nice to have

• Exposure to experimentation platforms or frameworks (for example Statsig, Optimizely, internal experimentation tooling).
• Familiarity with modern analytics stacks (dbt, BigQuery, Snowflake, Looker, PowerBI, Tableau) through coursework or projects.
• Exposure to ML tooling (scikit-learn, notebooks, basic MLOps concepts) and version control (Git).
• Familiarity with LLM concepts (prompting basics, retrieval/RAG intuition, and evaluation approaches) through coursework or side projects.
• Understanding of product analytics concepts (funnels, cohorts, retention) and causal pitfalls (selection bias, confounding).
• Experience creating AI-ready data assets (clean semantic layers, metric definitions, data contracts, documentation, and sanity-check checklists).
• Knowledge of responsible data handling (PII basics, access controls, safe sharing).

What success looks like

• You can independently deliver an end-to-end analysis with clear assumptions, validation steps, and a concrete recommendation.
• You help ship at least one decision tool (experiment, metric framework, or lightweight model) that changes a product or business decision.
• Stakeholders can run repeatable analyses with less back-and-forth, and your work reduces ambiguity in key metrics.
• You can spot when results look off, debug quickly, and explain the root cause.

Job Purpose:

The Marketing Specialist will lead the marketing activities for our Education Summit & Exhibition, playing a pivotal role in driving local exhibitor and sponsor participation, as well as delegate and visitor acquisition. The role demands a strategic thinker with deep knowledge of the local market, capable of creating tailored, high-impact campaigns that align with the event's mission.

The Marketing Specialist will oversee localization, and encompasses traditional and innovative marketing approaches with the primary goal of increasing our reach and conversion within the local market by appropriate penetration in multi-channel campaigns, including website user experience, SEO, digital/print collaterals, EDMs, social media, content marketing, and PR.

The ideal candidate will possess advanced English language proficiency, a skill highly valued for effective translation and content adapted communication and campaign execution. They will demonstrate an ability to critically evaluate processes, ask thoughtful questions, and provide insightful suggestions that enhance overall team performance. A natural aptitude for quickly learning and adapting to new technologies with minimal training is essential, ensuring seamless integration into fast-paced, dynamic environments. The ability to challenge conventional approaches constructively, combined with a proactive mindset, will add significant value to the team's strategic initiatives.

Key Accountabilities:

Campaign Development & Execution
•    Design and execute integrated marketing campaigns tailored to the localised market.
•    Align campaigns with international strategies, focusing on sponsor and attendee engagement.
•    Develop and maintain a marketing plan covering all phases of the event cycle.
•    Localize global campaigns to suit the cultural, linguistic, and business nuances of the market.
•    Manage the entire marketing lifecycle, from planning to execution, across digital, print, and experiential channels.
•    Expand beyond language to include culturally tailored visual elements, narratives, and messaging specific to localised Education market sensitivities.
•    Incorporate case studies or success stories from local companies to build local trust and resonance
Performance Metrics 
•    Use Monday.com for project management, ensuring all activities meet deadlines and KPIs.
•    Share weekly reports outlining completed activities and upcoming plans.
•    Stakeholder Collaboration 
•    Work closely with sales teams to generate exhibitor and sponsorship leads
•    Collaborate with conference production to develop content-led campaigns around event themes
•    Partner with digital, content, and PR teams to create integrated campaigns that deliver measurable results.
Data-Driven Strategy 
•    Utilize market research, attendee profiling, and analytics to refine audience segmentation and campaign messaging.
•    Implement real-time performance tracking and optimize campaigns based on actionable insights.
•    Regularly assess attendee feedback and campaign data to inform future strategies.
•    Collaborate with the data team to create a cyclical data strategy.
•    Analyse and segment audience data to maximise engagement and ROI.
Localized Content Creation
•    Lead the production of localised marketing materials, including brochures, email campaigns, and social media posts.
•    Supervise translations and ensure consistency in tone and messaging across all communications.
•    Work with graphic design teams to develop culturally relevant visual content.
•    Leverage trending local platforms like LINE and X more extensively for engaging with local audiences.
Networking & Engagement 
•    Promote and manage unique event features such as the Future Leaders Networking Breakfast, Women in Education Networking, and the Official Welcome Reception to the local market to ensure attendance.
•    Design marketing campaigns that emphasize the networking, collaboration, and partnership opportunities available at the event.
Cross-Functional Collaboration 
•    Act as the primary liaison between the marketing team and specialized functions, such as SEO, CRM, and analytics teams for all local language communications.
•    Maintain strong alignment with dmg events’ global portfolio, ensuring consistency with the branding and objectives of sister events.
Media & PR 
•    Manage media partnerships, press releases, and on-site media coordination.
•    Conduct an in-depth analysis of dmg events and the Education Summit’s portrayal in localised media, pinpointing any gaps between intended and actual perceptions.
•    Include regular media monitoring throughout the campaign to adjust strategies in real-time, ensuring that any shifts in perception are addressed promptly.
•    Use insights to support the development of press releases and public communications that not only align with dmg event's strategic objectives but also speak directly to the unique concerns and priorities of the local market.
•    Enhanced Informational Resources & Event Management
•    Produce a detailed Exhibitor Guide and additional informational content for the local website and brochures, ensuring they comprehensively address potential queries and provide extensive background on the event.
•    Oversee marketing-related event logistics, including registration systems, mobile apps, and networking platforms.
•    Activate advocacy plans to amplify reach through stakeholder networks.
Post-Event Engagement Plans
•    Use attendee feedback and analytics to shape targeted campaigns for the Education Summit & Exhibition 2026.
•    Prepare and present a full post-event review of activities completed
•    Create a “Post Event Report” brochure for sharing with key clients within 4 weeks of event closing 

Job Context:

The role requires close collaboration with exhibition sales, sponsorship teams, and delegate sales teams to drive lead generation and conversions. Working across departments—including technology and data—the marketing specialist will ensure cohesive execution of campaigns. This position also involves adapting international strategies to resonate with the localised market, aligning all marketing activities to achieve the overarching goals of the Education Summit & Exhibition.

Qualifications, Experience & Skills:

Minimum Qualifications and Knowledge:

Marketing qualification is advantageous.
Minimum Experience: 5+ years in mid manager level marketing, exhibition marketing is a must

Job-Specific Skills:
• Strategy creation and critical path analysis
• Experience in the use of databases in both mass and targeted direct marketing campaigns
• Experience managing the production of mobile apps and online registration systems
• People management
• Website Management and User Experience
• Excellent writing skills, including proof reading and messaging
• Marketing Automation, Lead Generation and Lead Scoring
• Big Data Analysis from multiple sources
• Budget management, including budgetary responsibility for decision making relating to a wide variety of potential marketing channels
• Excellent interpersonal skills and the ability to effectively communicate with and relate to all levels both within and outside the organisation
• Excellent negotiation and relationship building skills
• Strong attention to detail
Hard Skills
The successful individual must have used more than approx. 70% of the tools used by dmg events or have proven experience of using an alternative for an events business.
• ESP – Emarsy’s email composition and analysis
• CRM/database – Salesforce for campaign management
• Social Media Channels/ Hootsuite – LinkedIn, Twitter, Facebook, Instagram, YouTube, Line, WeChat (content creation, sponsored posts, analytics, and effectiveness)
• Registration – InfoSalons, N200, Form Assembly (including Social Amplification though InGo or Gleanin)
• Website – CMS (Umbraco, TYPO3, WordPress or similar) plus experience of design and user experience (working with 3rd parties)
• Google Suite
• SEO
• PPC
• Advocacy & exhibitor remarketing
• App management, networking platforms, content delivery platforms (webinar etc)
Behavioural Competencies:
• Good leadership skills
• Work well under pressure, adaptable and resilient
• Able to work on own initiative, be highly motivated and proactive
• Practice good time management
• Be trustworthy, professional, and reliable
• Demonstrate good teamwork with co-workers/peers

dmg events is an equal opportunity employer. If you have not had feedback from us within 14 days, please consider your application as unsuccessful for this round.

We are building the definitive AI-powered crypto search engine, transforming how users discover, analyze, and interact with on-chain and off-chain data. Our mission is to make the complex world of crypto instantly accessible through intelligent, natural-language search. As Head of Growth, you will architect our user acquisition strategy, leveraging data-driven approaches to scale our platform into the go-to gateway for millions of crypto participants.

Core Responsibilities

• Design and execute the overarching user acquisition strategy, focusing on sustainable growth loops and high-retention onboarding.

• Lead performance marketing efforts across digital channels, optimizing spend based on rigorous CAC and LTV analysis.

• Implement growth hacking experiments to identify new channels for user expansion, from viral referral programs to SEO-driven content strategies.

• Work closely with the product and engineering teams to integrate growth-focused features and reduce friction in the user journey.

• Manage and analyze the full growth stack, using data to drive decisions on product positioning and marketing messaging.

Requirements

• 5+ years of experience in growth marketing or user acquisition, specifically within the fintech, crypto, or AI sectors.

• Proven experience leading user acquisition, performance marketing, and growth hacking initiatives.

• Strong analytical skills with the ability to interpret complex datasets and translate them into actionable growth tactics.

• Proven track record of scaling consumer-facing platforms through a mix of performance marketing and organic growth hacking.

• Deep understanding of the crypto market landscape and user behavior patterns within the Web3 ecosystem.

• Experience managing growth budgets and working with modern marketing automation and analytics tools.