At a Glance
- Tasks: Analyse complex data and develop insights for the $10 trillion alternative investment market.
- Company: Canoe Intelligence, a leader in alternative investment data solutions.
- Benefits: Competitive salary, flexible PTO, remote work options, and education assistance.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Join a dynamic team and make a real impact in the finance tech space.
- Qualifications: Experience in data science, SQL, Python, and strong data visualisation skills.
The predicted salary is between 54000 - 66000 £ per year.
We are seeking an experienced and highly skilled Data Scientist to join our team. The ideal candidate will have a deep understanding of private markets and alternative investments, coupled with a strong ability to visualize complex data and communicate insights effectively. As a Data Scientist at Canoe, you will play a crucial role mining our large data corpus for new, unique, and compelling insights related to the $10 Trillion alternative investment market.
What You'll Do:
- Utilize advanced SQL skills and AI tools to extract, manipulate, and analyze data from various sources.
- Analyze and interpret complex data sets related to private markets and alternative investments.
- Develop and implement data models and algorithms to uncover insights and trends.
- Create compelling and easy-to-understand data visualizations to communicate findings to stakeholders.
- Collaborate with cross-functional teams to design and build data-driven products and solutions.
- Stay up-to-date with industry trends and best practices in data science, finance, and technology.
- Work with the Product and Machine Learning teams to develop new strategies for data extraction from unstructured text such as PDFs.
What We're Looking For:
- Proven experience as a Data Scientist, with a focus on private markets and alternative investments.
- Strong executive presence, with the ability to instill confidence in senior stakeholders and represent the organization with credibility and polish.
- Expertise in SQL and Python.
- An understanding of performance measurement for private market investments including drawdown funds, hedge funds, private debt, direct investments in private companies, and other illiquid assets.
- Experience working with large and complex datasets.
- Strong skills in data visualization tools (e.g., Tableau, Power BI, D3.js) and techniques.
- Excellent writing skills, with the ability to create clear and concise reports and documentation.
- Proficiency in Python.
- Solid understanding of statistical analysis, machine learning, and predictive modeling.
- Strong problem-solving skills and attention to detail.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
- Bachelor's or Master's degree in Data Science, Finance, Economics, Computer Science, or a related field.
Preferred:
- Experience with AWS, Snowflake, Postgres, and MySQL.
- Familiarity with financial modeling and investment analysis.
- Experience building and launching B2B products.
- Experience building products with LLMs, and using AI agents to automate processes.
- Experience working with Data Engineering teams to clean and productionize data pipelines.
- An understanding of fund accounting and forecasting models.
- Experience working in family office, institutional investor or PE/VC environment.
What You'll Get:
- Medical, dental, vision benefits
- Flexible PTO
- 401(k)
- Flexible work from home policy
- Home office stipend
- Employee Assistance Program
- Gym/Wifi reimbursement
- Education assistance
- Parental Leave
Our Values:
- Client First: Listen, and deliver client-centric solutions
- Be An Owner: Take initiative, improve situations, drive positive outcomes
- Excellence: Always set the highest standard for yourself and others
- Win Together: 1 + 1 = 3
Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.
Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Sr. Data Scientist in London employer: F-Prime Capital
At Neo4j, we pride ourselves on being a leading innovator in graph intelligence, offering a dynamic work environment that fosters creativity and collaboration. Our commitment to inclusivity and employee growth ensures that every team member has the opportunity to thrive while contributing to impactful projects that shape the future of data analytics. With a strong focus on relationships and user success, working at our vibrant location means being part of a community that values your contributions and supports your professional journey.
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We think you need these skills to ace Sr. Data Scientist in London
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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!
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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.
