Senior Data Scientist, Canoe
$160-180k
Based on NYC, will be adjusted for geo. Plus equity and bonus
Guiding the investment industry forward with smarter alts management
Be an early applicant
Guiding the investment industry forward with smarter alts management
101-200 employees
Be an early applicant
$160-180k
Based on NYC, will be adjusted for geo. Plus equity and bonus
101-200 employees
Company mission
To unlock efficiencies in alternative investment processes by introducing purpose-built automation into the workflows of institutional investors, asset services, capital allocators, and wealth managers.,
Role
Who you are
- 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
Desirable
- 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 the job involves
- 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
- 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 PDF’s
Our take
The internet presents itself as a seemingly infinite source of crucial information, particularly when it comes to financial information to inform smart investment. However, the sheer amount of data available makes it incredibly difficult to mine, aggregate and analyze in a way that is fast and efficient enough to be useful.
Canoe leverages AI technology to automate the analysis of investment data, including document collection, data extraction, categorization and validation. The technology is provided in the form of cloud-based tools, API packages and integrated portals, ultimately aiming to present a unified system in which investors can tackle the inefficiencies of manual investment data analysis.
It's undeniable that other automated data analysis services are available, but the unified nature of Canoe makes it stand out as a solution with a lot of potential. Off of 2024's Series C funding, the company is further optimizing and developing its product offerings and has recently launched an AI tech incubator, signalling clear ambition to lead as the next wave of data-driven innovation starts to take shape.
Freddie
Company Specialist at Welcome to the Jungle
Insights
48% employee growth in 12 months
Company
Funding (2 rounds)
Jul 2024
$36m
SERIES C
Feb 2023
$25m
SERIES B
Total funding: $61m
Company benefits
- Flexible PTO: Recharge with flexible PTO and paid holidays!
- In-Person Events: We host regular happy hours and company outings in NYC, London, and Jacksonville. Going to be remote? We also bring our teams together from around the world as we're able.
- Hybrid and Remote Work: Most roles at Canoe offer either a Hybrid or a Fully Remote schedule. Find the flexibility you are looking for here.
- Remote Office Stipend: Need to level up your personal workspace? We offer $750 for any office equipment you purchase (monitors, desk, chair, etc.).
- Professional Development: Continue to learn and grow, utilizing $1,000 in education reimbursement available annually to each employee. We also offer a robust Learning Management platform and host regular Lunch & Learns.
- Parental Leave: We provide paid parental leave to all new parents following 6 months of employment.
- Wellness/WiFi: We reimburse employees up to $100 per month to help cover gym memberships and internet.
- Health Insurance: From medical dental, and vision to FSAs, HSAs, and more - we've got you covered 🇺🇸
- Benefits Stipend: Canoe offers a £6,000 stipend for employees to enroll in their own private benefits. 🇬🇧
Company HQ
Canal Street, New York, NY
Leadership
Jason Eiswerth
(CEO)Extensive experience in financial services and business development. Held various Board positions and served as Managing Director at firms such as Nima Capital.
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