Data Analytics Developer, AVP - Credit and Insurance

The Blackstone Group L.P.; Miami (FL); On-site; USD 100,000 - 170,000; Full time

Benefits offered by this job

Comprehensive health benefits

Paid time off

401(k) plan

Discretionary bonuses

Job summary

The Blackstone Group L.P. is seeking a data analytics professional to develop scalable analytics tools for the Blackstone Credit & Insurance platform. This role involves collaboration across teams, building platform components, and creating interactive dashboards.

The ideal candidate will possess a Bachelor’s or Master’s degree in a STEM field along with proficiency in Python, SQL, and experience with BI applications. The opportunity includes a competitive salary range of $100,000–$170,000 based on experience.

Qualifications

• 3+ years of experience in a data analytics/data science role.
• Experience with business intelligence applications.
• Familiarity with big data analytical techniques.

Responsibilities

• Analyze, design, implement, and deploy scalable data-driven analytics tools.
• Build platform components using data science and programming.
• Create interactive dashboards and apps for portfolio risk insights.

Skills

Database design

SQL

Python programming

Data visualization (Sigma, Tableau)

Cloud technologies (AWS, Snowflake)

Data structure design

Data processing performance

Mathematics and statistics

Education

Bachelor’s or Master’s degree in STEM

Tools

Sigma

Tableau

React

Typescript

Job description

Overview

Blackstone is the world’s largest alternative asset manager. BXTI is the technology team at the core of each of Blackstone’s businesses and new growth initiatives. Serving both internal and external clients, we build systems that manage risk, create efficiency, and improve transparency within the firm and across our broad community of investors and portfolio companies.

Responsibilities

• Analyze, design, implement, test, debug, and deploy scalable data‑driven analytics tools for the Blackstone Credit & Insurance platform.
• Build platform components using data science, statistics, and computer programming.
• Collaborate with portfolio managers, asset allocators, middle‑office operations, data governance, risk, and fund finance teams to create scalable analytics tooling.
• Create interactive dashboards & apps focused on portfolio risk characteristics with insights for internal managers and external clients.
• Leverage engineering and data science skills to identify alpha in complex credit and structured security markets.
• Transform diverse and unstructured or unclean datasets into organized formats suitable for data science.
• Write clean and scalable code in Python and SQL to support analytical models and generate novel insights from data.
• Develop interactive data visualization tools using BI software such as Sigma & Tableau.
• Implement and extend core system architecture and data warehouses using Snowflake & AWS as foundation for analytics.
• Web development expertise in React & Typescript on AWS infrastructure (Terraform) is a plus.

Qualifications

• Bachelor’s or Master’s degree in a STEM domain (e.g., Engineering, Computer/Data Science or similar).
• 3+ years of experience in a data analytics/data science role.
• Proficiency in database design, SQL, and Python programming.
• Experience with business intelligence applications (e.g., Sigma, Tableau).
• Experience designing and implementing scalable portfolio analytics platforms.
• Familiarity with big data analytical techniques and cloud technologies including Amazon Web Services (AWS) and Snowflake.
• Expertise in database architecture design and performance optimization.
• Strong skills designing optimal data structures to host diverse financial datasets.
• Expertise in data visualization tools like Sigma & Tableau.
• Ability to build large‑scale, complex visualization platforms quickly.
• Expertise in designing core data analytics models focusing on reusability, data processing performance, and data accuracy.
• Knowledge in mathematics and statistics to implement financial simulation models and understand security/fund risk methodologies.

Preferred Qualifications

• Work experience with fixed‑income investment strategies.
• Experience with web‑based application development in React & Typescript with AWS infrastructure (Terraform).

Salaries, Benefits, and Compensation

Expected annual base salary range: $100,000–$170,000. Actual base salary within that range will be determined by experience, skills, qualifications, and job location. For roles located outside of the US, salary bands are based on local market comparables.

• Comprehensive health benefits (medical, dental, vision, and FSA).
• Paid time off.
• Life insurance.
• 401(k) plan.
• Discretionary bonuses.
• Eligibility for equity and other incentive compensation at Blackstone’s sole discretion.

Equal Employment Opportunity (EEO) Statement

Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.

Accommodation and Licensing

Depending on the position, you may be required to obtain certain securities licenses if you are in a client‑facing role and/or if you are engaged in activities such as attending client meetings, marketing Blackstone funds, supervising or training securities‑licensed employees, structuring or creating Blackstone funds/products, or advising on marketing plans. If you need a reasonable accommodation to complete your application, please contact Human Resources at 212‑583‑5000 (US), [phone] (EMEA) or [phone] (APAC).