Financial Engineer/Data Scientist

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Company: The Beneficient Company Group USA LLC

Location: Dallas, TX 75217

Description:

Job Summary:

We are looking for a Financial Engineer/Data Scientist to join our risk/quant team. The ideal candidate will have a strong background in finance and data science, capable of developing and improving quantitative models and leveraging AI technologies. The role involves designing and implementing advanced models to generate insights from our proprietary AltData platform and supporting the development of AI-driven applications.

Key Responsibilities:

- Develop machine learning models to generate insights from AltData.

- Improve existing cashflow projection models.

- Design and implement a new portfolio allocation model that doesn't rely on external Barra models.

- Develop and deploy an improved CECL model using open-source data like Fred.

- Collaborate with the Python Developer to build scalable data solutions.

- Enhance AI-based data extraction processes from internal documents.

- Automate tasks using AltData for other internal Beneficient systems such as our investment database platform.

- Develop applications leveraging new AI models for internal and external use.

- Train internal users on new applications and gather feedback for improvements.

Qualifications:

- Masters or PhD degree in Data Science, Mathematics, Statistics, Computer Science, Financial Engineering, or a related field.

- Experience with machine learning and AI technologies.

- Proven experience as a Financial Engineer or Data Scientist.

- Strong understanding of financial models and quantitative analysis.

- Proficiency in programming languages such as Python.

- Familiarity with SQL and database management.

- Strong problem-solving skills and ability to work in a collaborative team environment.

- Excellent communication skills.

Preferred Skills:

- Experience with financial data systems and platforms.

- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).

- Experience with data visualization tools.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin or any other category protected by law.

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