At a Glance
- Tasks: Analyse trading data using Python, SQL, and KDB+ to support electronic trading.
- Company: Join TP ICAP Liquidnet, a leader in agency equity trading.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and strategy.
- Why this job: Make an impact in the fast-paced world of electronic trading analytics.
- Qualifications: Experience with Python, SQL, and data analysis required.
The predicted salary is between 72000 - 88000 £ per year.
TP ICAP Liquidnet in London is seeking an Associate Director in Execution Consulting to support electronic trading for a leading agency equity single-stock and portfolio desks across EMEA and beyond. You will apply Python, SQL, KDB+ and Pandas to create incisive analyses of product usage and market structure, support the sales effort and generate follow-up business, reporting to the Head of Execution Consulting.
Associate Director, Execution Analytics & Strategy (Hybrid) in London employer: TP ICAP Americas Holdings
TP ICAP Group is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to employee growth, the company provides extensive training and development opportunities, ensuring that team members can thrive in their careers while contributing to a proactive risk culture. Located in London, employees benefit from being part of a prestigious organisation with a rich history and a global presence, making it an ideal place for those seeking meaningful and rewarding employment in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director, Execution Analytics & Strategy (Hybrid) 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 TP ICAP Americas Holdings!
✨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 Associate Director, Execution Analytics & Strategy (Hybrid) at TP ICAP Americas Holdings.
✨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 TP ICAP Americas Holdings.
✨Apply Directly through Our Website
When you find a suitable opening like Associate Director, Execution Analytics & Strategy (Hybrid) at TP ICAP Americas Holdings, 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 Associate Director, Execution Analytics & Strategy (Hybrid) 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 TP ICAP Americas Holdings, 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 TP ICAP Americas Holdings. 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 TP ICAP Americas Holdings
✨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 TP ICAP Americas Holdings!
✨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.