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- Tasks: Transform raw data into insights that shape investment strategies and risk models.
- Company: Join a leading investment firm at the forefront of data-driven decision-making.
- Benefits: Enjoy flexible working, competitive salary, health coverage, and career growth opportunities.
- Why this job: Make an impact on billion-dollar decisions while working with cutting-edge technology in a diverse team.
- Qualifications: Proficiency in Python, R, SQL; finance experience is a plus but not required.
- Other info: Exciting entry-level role with ongoing training and development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
This range is provided by Intellect Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Location: Hybrid – London
Salary: Competitive, with performance-based bonuses
Tech Stack: Python, R, SQL, Machine Learning, AI, Big Data
Benefits: Flexible working, excellent salary & bonuses, full health coverage, retirement plans, wellness programs, and career growth opportunities.
Are you passionate about data, finance, and cutting-edge technology? Join a leading investment and financial services firm at the forefront of data-driven decision-making. We are looking for a Financial Data Scientist to transform raw data into actionable insights that shape investment strategies, risk models, and business growth. This is an exciting opportunity to work with a company that values innovation, collaboration, and continuous learning.
Why Join Us?
- Impactful Work: Help drive billion-dollar investment decisions, optimise risk strategies, and enhance financial forecasting using data science.
- Cutting-Edge Technology: Work with the latest AI, machine learning, and big data tools to analyse financial markets and business trends.
- Diverse & Inclusive Team: We welcome candidates from all backgrounds—finance, engineering, statistics, economics, mathematics, and beyond!
- Excellent Benefits: Competitive salary, performance-based bonuses, flexible working arrangements, health and wellness programs, learning and development support, and generous pension contributions.
- Career Growth: Work with top financial professionals, data scientists, and technologists, with opportunities for leadership and cross-functional collaboration.
Your Role:
- Develop and refine predictive models to analyse financial markets, consumer behaviour, and economic trends.
- Use machine learning and AI to improve trading strategies, risk assessment, and investment decision-making.
- Collaborate with traders, analysts, and business leaders to translate complex data into strategic insights.
- Build automated data pipelines and improve data accessibility across the organisation.
- Work with large datasets from diverse financial sources, ensuring accuracy and efficiency in data processing.
What We’re Looking For:
- Data Enthusiasts: Whether you’re an experienced financial analyst with strong coding skills or a data scientist eager to break into finance, this role is for you!
- Technical Skills: Proficiency in Python, R, SQL, MATLAB, or similar programming languages. Knowledge of machine learning frameworks (TensorFlow, Scikit-learn, etc.) is a plus.
- Financial Acumen (Bonus, Not Required!): Experience in financial markets, trading, risk management, or portfolio optimisation is great but not mandatory—we provide training!
- Problem Solvers & Innovators: Strong analytical thinking, a passion for finding patterns in data, and the ability to turn insights into impactful business strategies.
- Team Players: Ability to work across departments, communicate complex ideas simply, and contribute to a collaborative culture.
What’s in It for You?
- Highly competitive salary and performance-based bonuses.
- Flexible work arrangements – hybrid or remote options available.
- Comprehensive benefits package, including health insurance, retirement plans, wellness programs, and paid time off.
- Ongoing training & development, including access to industry conferences, mentorship programs, and technical training.
- Exciting, fast-paced environment where your work directly impacts investment strategies and financial innovation.
If you’re excited about using data science to transform finance and want to be part of a forward-thinking, dynamic team, we’d love to hear from you. Apply now and take your career to the next level!
Seniority level: Entry level
Employment type: Full-time
Job function: Analyst and Information Technology
Industries: Climate Data and Analytics and Financial Services
Financial Data Scientist employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in financial data science. Follow industry leaders on social media and read relevant blogs to stay updated on how AI and machine learning are being applied in finance.
✨Tip Number 2
Network with professionals in the finance and data science sectors. Attend meetups, webinars, or conferences to connect with potential colleagues and learn more about the skills that are in demand.
✨Tip Number 3
Showcase your technical skills by working on personal projects or contributing to open-source initiatives. This not only enhances your portfolio but also demonstrates your passion for data science and finance.
✨Tip Number 4
Prepare for interviews by practising common data science and finance-related questions. Be ready to discuss how you would approach real-world problems using data analysis and machine learning techniques.
We think you need these skills to ace Financial Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, finance, and the specific technologies mentioned in the job description, such as Python, R, and SQL. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and finance. Explain how your skills align with the role of Financial Data Scientist and provide examples of past projects or experiences that demonstrate your analytical thinking and problem-solving abilities.
Showcase Technical Skills: In your application, clearly outline your proficiency in programming languages and machine learning frameworks. If you have experience with big data tools or financial analysis, be sure to include that as well, as it will strengthen your application.
Highlight Collaborative Experience: Since the role involves working with various teams, mention any previous experiences where you collaborated with others to achieve a common goal. This could include projects in school, internships, or previous jobs where teamwork was essential.
How to prepare for a job interview at Intellect Group
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, R, SQL, and any machine learning frameworks you’ve used. Bring examples of projects where you've applied these skills, especially in a financial context.
✨Demonstrate Financial Acumen
Even if you don't have extensive experience in finance, show your enthusiasm for the field. Familiarise yourself with basic financial concepts and be ready to discuss how data science can impact investment strategies and risk management.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical thinking and problem-solving abilities. Practice articulating your thought process clearly, as this will demonstrate your ability to turn data insights into actionable strategies.
✨Emphasise Collaboration and Communication
Highlight your experience working in teams and your ability to communicate complex ideas simply. This role requires collaboration with traders and analysts, so showcasing your teamwork skills will be crucial.
