Data Scientist - Credit Investment Team

A leading investment management firm specializing in the non-investment grade credit markets (high-yield bonds and leveraged loans) is looking for a Data Scientist to join the Credit Investment Team. The Candidate will play a pivotal role in identifying, analyzing, and utilizing large alternative, non-traditional datasets to drive investment decision-making. This role is highly collaborative, working closely with credit analysts, portfolio managers, and traders to deliver innovative, data-driven insights that enhance the firm’s investment approach.

Key Responsibilities:

• Collaborate with the credit team to support their analytical needs and provide actionable data-driven insights.
• Drive platform advancements and innovation to improve the investment process.
• Leverage large datasets, including public, paid, and web-scraped data sources, to support the credit team’s research.
• Automate repetitive tasks to improve efficiency and streamline workflows.
• Provide comprehensive data insights across all sectors and deliver findings to internal and external stakeholders.
• Apply statistical and machine learning techniques for data analysis, backtesting, and uncovering correlations.
• Utilize APIs to extract, integrate, and manipulate data efficiently.
• Present complex data findings effectively to internal teams, clients, and potential clients.

Required Skills & Qualifications:

• Technical Proficiency: Expertise in R, Python, SQL, and Snowflake.
• Data Expertise: Strong experience with large datasets, data manipulation, web scraping, and automation.
• Analytical Ability: Proven ability to apply statistical and machine learning techniques to solve complex problems.
• Communication Skills: Excellent ability to present findings clearly to technical and non-technical audiences.
• Financial Understanding: Awareness of the financial implications of data analysis, beyond just technical execution.
• Education: A background in Data/Computer Science, Finance, or Accounting

Preferred Qualifications:

• Solid understanding of finance, accounting, credit, and derivatives, including financial statements, credit risk assessment, and using derivatives for hedging and investment purposes.
• Proven experience tailoring complex data presentations for various audiences, including clients and potential clients.
• 3–5 years of professional experience in data science or a related role, preferably in a financial or investment context.

Job Advantages:

• A collaborative and dynamic work environment.
• Opportunities to innovate and make a significant impact on investment decisions.
• Competitive compensation and benefits package.

Keywords: High Yield Bonds, Alternative Data, Unstructured Data, Machine Learning, Business Intelligence, Text Mining, Data Scientist, Web Scraping, SQL, Parsing, Python, Scripting, Data Analyst

Please send resumes to Jim Geiger jeg@analyticrecruiting.com