Graduate Trading Analyst in Basingstoke

Graduate Trading Analyst in Basingstoke

Basingstoke Full-Time 25000 - 32000 £ / year (est.) Home office (partial)
The AA

At a Glance

  • Tasks: Analyse data to drive growth in insurance portfolios and support commercial decisions.
  • Company: Join a leading insurance company with a focus on collaboration and innovation.
  • Benefits: Enjoy 25 days annual leave, pension contributions, and discounts on various products.
  • Other info: Diverse learning opportunities and a commitment to inclusivity await you.
  • Why this job: Kick-start your career in a dynamic role that makes a real business impact.
  • Qualifications: Degree in a numerate discipline with strong analytical skills required.

The predicted salary is between 25000 - 32000 £ per year.

Overview

Graduate Trading Analyst – Location: Basingstoke – Hybrid – Three Days in Office. Employment Type: Permanent. Hours: Monday to Friday.

Kick-start your career in insurance with a role where your analytical skills will help shape commercial decisions and deliver real business impact.

As a Trading Analyst within our Broker Trading team, you'll play a key role in supporting the performance of our Motor, Van and Home insurance portfolios.

Working with experienced colleagues across the business, you'll turn data into meaningful insights, monitor trading performance and help identify opportunities to drive growth, improve customer outcomes and support our commercial strategy.

This is an excellent opportunity to develop your analytical skills in a collaborative, fast-paced environment while building a rewarding career.

Responsibilities

  • Supporting the delivery of trading activity to optimise customer acquisition, retention and value across the Broker Insurance portfolio.
  • Producing analysis and insight across the sales funnel, including quotes, conversion, sales and key value metrics.
  • Undertaking competitor and market analysis to identify trends, opportunities and future trading scenarios.
  • Supporting the preparation, validation and maintenance of trading data, ensuring high standards of data quality and governance.
  • Providing analytical insight to support business case development and commercial decision-making.
  • Delivering accurate analysis and reporting to agreed deadlines, ensuring outputs are clear and actionable.
  • Monitoring key Broker trading performance metrics and helping to explain performance trends and drivers.
  • Supporting external reporting requirements by producing accurate and timely management information.
  • Collaborating with colleagues across trading and commercial teams to provide insight that drives performance improvements.
  • Contributing to continuous improvements in reporting, analysis and trading processes through data-led recommendations.

Qualifications

  • Degree (2:1 or above) in Mathematics, Statistics, Economics, Actuarial Science, Data Science, Business Analytics, Engineering, Physics, Computer Science or another numerate discipline with a strong analytical focus.
  • Strong numerical and analytical skills, with evidence of applying data analysis as part of your degree.
  • Ability to interpret complex data and communicate insights in a clear and engaging way.
  • Commercial mindset with a keen interest in using data to support business performance and customer outcomes.
  • Excellent communication skills and confidence working with a range of stakeholders.
  • Ability to manage multiple priorities while maintaining a high level of accuracy and attention to detail.
  • Self-motivated approach with a proactive attitude and strong sense of ownership.
  • Collaborative style with the ability to build effective working relationships across teams.
  • Knowledge of Databricks, SQL, SAS or Power BI, with an interest in developing technical data skills.

Benefits

  • 25 days annual leave plus bank holidays + holiday buying scheme
  • Worksave pension scheme with up to 7% employer contribution
  • Free AA breakdown membership from Day 1 plus 50% discount for family and friends
  • Discounts on AA products including car and home insurance
  • Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
  • Company funded life assurance
  • Diverse learning and development opportunities to support you to progress in your career
  • Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

We’re an equal opportunities employer and welcome applications from everyone.

The AA values diversity and the difference this brings to our culture and our customers.

We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong.

We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.

As part of the onboarding process, we complete several pre-employment checks including work reference, credit and criminal record checks.

We may close the vacancy sooner than the advertised date if we get a high volume of applications, please apply now if you are interested.

#J-18808-Ljbffr

Graduate Trading Analyst in Basingstoke employer: The AA

The AA is an exceptional employer, offering a vibrant work culture in the heart of London where innovation meets tradition. Employees benefit from a competitive salary, annual bonuses, and a range of perks, all while having the opportunity to lead a dynamic legal team and influence key business decisions. With a strong focus on professional development and a commitment to fostering a collaborative environment, the AA empowers its staff to thrive and grow within their careers.

The AA

Contact Details:

The AA Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate Trading Analyst in Basingstoke

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The AA!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Graduate Trading Analyst at The AA.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The AA.

Apply Directly through Our Website

When you find a suitable opening like Graduate Trading Analyst at The AA, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Graduate Trading Analyst in Basingstoke

Analytical Skills
Data Analysis
Numerical Skills
Market Analysis
Communication Skills
Attention to Detail
Problem-Solving Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at The AA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The AA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at The AA

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The AA!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.