At a Glance
- Tasks: Lead projects to enhance business performance using data analytics and modelling techniques.
- Company: G-Research, a top quantitative research and tech firm in London and Dallas.
- Benefits: Competitive pay, 30 days leave, healthcare, and monthly events.
- Other info: Flexible culture that values diversity and innovation.
- Why this job: Join a dynamic team tackling finance's biggest questions with cutting-edge technology.
- Qualifications: Experience in business analytics, strong communication skills, and proficiency in SQL or Python.
The predicted salary is between 60000 - 80000 £ per year.
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. This is a hybrid role based in our new Soho Place office – opened in 2023 – in the heart of Central London and home to our Research Lab.
This position is based within the Data Analytics team, part of the wider Insights and Delivery function, which is collectively responsible for providing timely insights on business health and for the development and delivery of G-Research's strategy. Data is at the heart of our business and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm. As an Insight Analyst, you will be at the forefront of facilitating data-driven decision making across the business, working closely with senior leadership to structure, analyse and drive outcomes for complex and strategic problems.
Key Responsibilities
- Leading and delivering projects to improve business performance and decision making, using a variety of analytical and modelling techniques.
- Supporting the smooth running and augmentation of business operations through the provision of insight on metrics that matter.
- Working with senior leadership to identify key hypotheses and assumptions, quantifying and challenging throughout.
- Visualising and communicating insights in a way which resonates with both technical and non-technical audiences.
- Providing technical oversight and advice on modelling and simulation projects, mentoring other members of the team.
Qualifications
- Practical experience in a business analytics setting, preferably in a fast-paced, dynamic environment.
- Demonstrable experience of owning and delivering end-to-end analytics projects; experience of modelling and simulation, such as discrete events, systems dynamics and optimisation, is highly preferential.
- Strong academic credentials, including a minimum 2.1 degree or equivalent.
- Strong communication and facilitation skills, with the ability to engage C‑Suite stakeholders.
- Ability to dissect ambiguous problems, identifying key drivers and determining the appropriate analytical techniques to apply.
- High proficiency at creating end-to-end reporting solutions, including data extraction, cleaning, analysis and report building.
- A good understanding of statistics and the ability to apply statistical methods to their modelling and analysis.
- A willingness to evangelise best practice and mentor colleagues.
- An innovative mind-set with a desire to continuously improve every aspect of how we work.
- Experience with SQL, Python, Tableau or similar is highly beneficial.
Benefits
- Highly competitive compensation plus annual discretionary bonus.
- Lunch provided (via Just Eat for Business) and dedicated barista bar.
- 30 days’ annual leave.
- 9% company pension contributions.
- Informal dress code and excellent work/life balance.
- Comprehensive healthcare and life assurance.
- Cycle‑to‑work scheme.
- Monthly company events.
Why Should You Apply?
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
Culture
We are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture our talent in our collaborative working environment.
Insight Analyst in London employer: Alastair LLP
G-Research is an exceptional employer, offering a dynamic and flexible work culture that fosters innovation and collaboration in the heart of Central London. With a commitment to employee growth, competitive compensation, and a range of benefits including comprehensive healthcare and generous annual leave, we empower our Insight Analysts to thrive while tackling complex financial challenges using cutting-edge technology. Join us at our state-of-the-art Soho Place office, where your ideas will be valued and rewarded in a stimulating environment.
StudySmarter Expert Advice🤫
We think this is how you could land Insight Analyst in London
✨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 Alastair LLP!
✨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 Insight Analyst at Alastair LLP.
✨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 Alastair LLP.
✨Apply Directly through Our Website
When you find a suitable opening like Insight Analyst at Alastair LLP, 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 Insight Analyst in London
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 Alastair LLP, 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 Alastair LLP. 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 Alastair LLP
✨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 Alastair LLP!
✨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.
