Crypto à Grande-Bretagne

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Product Analyst

Job Description

Who are we?

Hello, we're IG Group. We are a publicly-traded FTSE250 FinTech company that runs mobile, web, and desktop platforms to help our clients trade stocks & shares, leveraged products, Futures & Options, and Crypto.

We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We aim to move faster, ship better products for our customers, and grow our user base. We believe in high autonomy and seek individuals who want to innovate to create better customer experiences.

We work in cross-functional teams focused on increasing active clients for sustainable growth.

Your role in the team's success

In this role, you will analyze product data to drive strategic decisions, improve product performance, and enhance user experience from acquisition to First Trade. You will collaborate with product managers, engineers, and other teams to provide impactful insights and become the go-to person for data and performance analysis.

How you'll make an impact:

• Lead conversion analytics across our trading platform—define metrics, deliver insights, and optimize user journeys to improve conversion rates.
• Shape the conversion optimization roadmap through data-driven recommendations, identifying friction points and high-impact improvements.
• Collaborate with Data Analytics Engineers and Software Engineers to collect and model relevant conversion data throughout the customer lifecycle.
• Promote a data-driven culture by sharing insights and building stakeholder relationships.
• Design experiments and analysis frameworks to measure the ROI of conversion initiatives.
• Apply analytics best practices from data collection to analysis, leading by example.

What you'll need for this role

• 5+ years of experience in highly analytical, data-driven roles, especially on the product side.
• Solid experience with A/B testing, conversion measurement frameworks, and quantitative validation methods.
• Strong communication skills to translate complex technical concepts and influence decisions.
• Analytical problem-solving skills to convert ambiguous challenges into structured, data-informed solutions.
• Proficiency in SQL for analyzing user behaviors and conversion funnels.
• Statistical knowledge (hypothesis testing, regression) for measuring improvements.
• Experience with visualization tools (Tableau, Power BI, Looker) for effective data storytelling.
• Experience with digital analytics platforms (Google Analytics, Adobe Analytics).
• Skills in Python or R for advanced analysis and modeling.
• Understanding of user research to complement quantitative insights.
• Curious, collaborative team player capable of prioritizing in a fast-paced environment.

Nice to have:

• Familiarity with customer segmentation, predictive modeling, and machine learning techniques.
• Experience supporting data-driven product roadmaps and experimentation programs.
• Keen interest in trading and investing.
• Basic knowledge of HTML, CSS, JavaScript.

How we work

We adopt a thoughtful approach to our ways of working. Our hybrid model includes 3 days in the office to balance collaboration and connection. We focus on five key behaviors to drive performance and growth:

• Lead and Inspire
• Think Big
• Champion the Client
• Deliver at Pace
• Raise the Bar

We value diversity, which fuels creativity and innovation. We are committed to building teams with varied perspectives and skills. We encourage applications from diverse backgrounds.

The Perks

Your growth fuels our success! Enjoy tailored development programs, mentorship, career progression, social clubs, and extra time off for volunteering. Our benefits include:

• Matched giving for fundraising
• Flexible hours and remote work
• Bonuses
• Pension, insurance, and medical plans
• Technical and leadership training, including LinkedIn Learning
• A day off on your birthday
• Two days of volunteering leave annually

Join us on this exciting journey. Apply now!

Number of openings: 1

Job ID: R_14676