Investment Data Scientist
LaddersAbout the role
For our client, we are seeking a Investment Data Scientist to join the team of a leader in the Finance & Insurance space.
This role will sit at the intersection of data science and investing, helping inform investment diligence and portfolio value creation through rigorous analysis and actionable insights. The individual will partner closely with investment professionals and portfolio company leaders to translate complex data into clear recommendations. The work will also involve building tools and data products that improve investment decision-making and support execution under tight deadlines.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $190,000 – $220,000 annually
Responsibilities
Dive deep into data analytics for investment due diligence, analyzing risks and opportunities thoroughly.
Partner strategically with portfolio company executives to drive data-led growth initiatives.
Lead the development and implementation of data-centric strategies and tools for investment processes.
Support live due diligence by translating complex data into clear analysis under tight deadlines.
Develop insightful tools and data products to enhance the investment process.
Oversee value creation projects in portfolio companies, managing from strategy to execution.
Engage in sophisticated data analysis, including feature engineering and hypothesis testing.
Qualifications
Bachelor's degree required; preferred concentration in Computer Science, Math, Physics, or other STEM fields.
At least 8 years of relevant technical experience in Data Science.
Previous experience with hedge funds is preferred.
Experience in financial services or private equity industries is preferred.
Strong verbal and written communication skills for effective presentation and storytelling.
Benefits
Comprehensive benefits package including retirement benefits, health insurance, life insurance, and disability.
Paid time off and paid holidays.
Family planning benefits and wellness programs.
Eligibility for annual discretionary incentive program based on individual and organizational performance.
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Dive deep into data analytics for investment due diligence, analyzing risks and opportunities thoroughly.
- Partner strategically with portfolio company executives to drive data-led growth initiatives.
- Lead the development and implementation of data-centric strategies and tools for investment processes.
- Support live due diligence by translating complex data into clear analysis under tight deadlines.
- Develop insightful tools and data products to enhance the investment process.
- Oversee value creation projects in portfolio companies, managing from strategy to execution.
- Engage in sophisticated data analysis, including feature engineering and hypothesis testing.
Qualifications
- Bachelor's degree required; preferred concentration in Computer Science, Math, Physics, or other STEM fields.
- At least 8 years of relevant technical experience in Data Science.
- Previous experience with hedge funds is preferred.
- Experience in financial services or private equity industries is preferred.
- Strong verbal and written communication skills for effective presentation and storytelling.
Benefits
- Comprehensive benefits package including retirement benefits, health insurance, life insurance, and disability.
- Paid time off and paid holidays.
- Family planning benefits and wellness programs.
- Eligibility for annual discretionary incentive program based on individual and organizational performance.
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.