Conduct market and strategic analytics research focused on institutional and wealth investor segments, including pensions, endowments, foundations, sovereign wealth funds, and private wealth channels.
Analyze and reframe institutional investment products to identify opportunities for adaptation and positioning within wealth management platforms.
Develop competitive benchmarking across wealth management, institutional, and retail alternative investment products to inform product strategy and investor messaging.
Partner with Investor Relations and Wealth teams to translate analytical insights into actionable recommendations that support fundraising, product structuring, and distribution strategies.
Leverage Python, SQL, and modern analytics workflows to build scalable analyses, dashboards, and research outputs.
Apply prompt engineering and large language models (LLMs) to synthesize qualitative and quantitative data, enhance market intelligence, and accelerate research workflows.
Manage and analyze externally sourced datasets, including data obtained through third-party web scraping vendors, ensuring quality, relevance, and compliance.
Facilitate tactical execution by delivering timely insights, data products, and analytical support to senior stakeholders across Investor Relations and Wealth.
Collaborate closely with cross-functional partners, including product, engineering, and data teams, to ensure analytical outputs align with business objectives.

Qualifications

Education & Certificates

Bachelor's degree or higher in a STEM field, required
Concentration in Computer Science, Math, Physics or other engineering related field, preferred

Professional Experience

6-8 years of overall relevant technical experience, required
Experience in data science or a related discipline, with a proven track record of success
Strong proficiency in Python and SQL for data analysis, modeling, and research workflows
Experience working with large language models (LLMs), including prompt engineering and applied use cases in research or analytics
Ability to work with externally sourced and unstructured data, including datasets produced via third-party web scraping vendors
Experience integrating multiple data sources to produce coherent market and competitive insights
Experience working with the IR or Wealth Management teams

Competencies & Attributes

Strong analytical mindset with the ability to translate complex data into clear, actionable insights for non-technical stakeholders
Excellent written and verbal communication skills, with experience presenting findings to senior audiences
Comfort operating in a fast-paced, ambiguous environment with evolving business needs
Collaborative and proactive approach to working with cross-functional teams
High attention to detail and strong organizational skills

Benefits/Compensation

The compensation range for this role is specific to New York and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.

The anticipated base salary range for this role is $180,000 to $200,000.

In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.

Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by The Carlyle Group.

Financial Data Scientist, Wealth

Qualifications