At a Glance
- Tasks: Partner with teams to identify AI use cases and shape practical solutions.
- Company: Point72, a leading global alternative investment firm with a focus on innovation.
- Benefits: Private medical and dental insurance, generous leave policies, and wellness programmes.
- Other info: Opportunities for professional growth and involvement in employee-led affinity groups.
- Why this job: Join a dynamic team and make an impact in the world of finance and AI.
- Qualifications: Bachelor’s degree, knowledge of AI, Python, and genuine interest in financial markets.
The predicted salary is between 59400 - 72600 £ per year.
A Career with Point72's Market Intelligence TeamOn our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. WHAT YOU'LL DOAct as a forward-deployed solution architect: partner with EMEA Pods and business groups to identify high-value AI use cases, understand research workflows, and shape practical solution designs. Be the bridge between EMEA teams and the firm’s AI resources: turn messy team signal into concrete product and platform asks, surface existing firm capabilities before teams reinvent them, and help firm-wide teams understand regional priorities.Lead the enablement motion through teach-ins, prompt and tool literacy, and best-practice sharing, helping teams move beyond “AI is new and exciting” towards “AI is how we work.”Provide the light-touch technical support that unblocks a team—such as a quick integration or precise bug report—without owning or maintaining core production systems.Track adoption and impact with simple metrics, and feed what is working back to the teams building firm-wide capabilities.A solid grasp of AI, solution design, and engineering best practices, with the judgement to assess feasibility and shape sound solutions. Comfort with Python, modern LLM and agentic tooling—including model APIs, retrieval-augmented generation, and agents—and SQL/data is expected; A bachelor’s degree; Genuine interest in financial markets and how investment research gets done.Private Medical and Dental InsurancesGenerous parental and family leave policiesVolunteer opportunitiesSupport for employee-led affinity groups representing women, people of colour and the LGBQT+ communityMental and physical wellness programmesTuition assistanceNon-contributory pension and moreABOUT POINT72Point72 is a leading global alternative investment firm led by Steven A. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.
Aws Architect/ Solution Architect Remote employer: Point72
Point72 is an exceptional employer that prioritises the well-being and professional growth of its employees in the heart of London. With comprehensive benefits including private medical insurance, generous family leave, and wellness programmes, we foster a supportive work culture that encourages career development within a dynamic global investment firm. Join us to be part of a team that values compliance excellence and offers unique opportunities for advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Aws Architect/ Solution Architect Remote
✨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 Point72!
✨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 Aws Architect/ Solution Architect Remote at Point72.
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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 Point72.
✨Apply Directly through Our Website
When you find a suitable opening like Aws Architect/ Solution Architect Remote at Point72, 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!
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 Point72, 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 Point72. 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 Point72
✨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 Point72!
✨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.
