Economist / Data Scientist / Quantitative Financial Manager Consultant at Intelligent Medicine Exchange (IMX)

Job Title

Economist/Data Scientist/Quantitative Financial Manager Consultant

Location: Remote

Job Type: Consultant

Company: IMX Data

About Us:

At IMX we are focused on developing the data management tools to merge finance and healthcare sectors and to bring financial risk management tools to the healthcare industry. Our data platform will provide firms the ability to leverage a massive database of data to analyze trends in the healthcare sector. Our exchange platform will create a transparent, two-sided market for pricing of health care assets, will provide hedging opportunities for payers, providers, and other health care market participants ideally leading to lower prices and premiums.

Job Description:

We are looking for a Data Scientist/Quantitative Financial Manager who will be responsible for applying advanced statistical and quantitative techniques to analyze financial data and deliver data-driven market insights. The ideal candidate will have a strong background in finance, statistics, and data science, with a proven track record of developing and implementing quantitative models. Ideally the candidate will have familiarity with healthcare data, particularly medical and pharmaceutical claims. 

Key Responsibilities:

• Develop and implement quantitative models for asset pricing, risk management, and portfolio optimization.

• Analyze large datasets to identify trends, patterns, and noteworthy insights

• Collaborate with financial analysts and portfolio managers to provide data-driven recommendations.

• Design and maintain databases and data pipelines for efficient data management and analysis.

• Conduct research on financial markets and economic conditions to inform investment strategies.

• Create visualizations and reports to communicate findings to stakeholders and senior management.

• Stay updated on the latest developments in data science, quantitative finance, and healthcare and financial markets.

Qualifications:

• Master's or PhD in Finance, Economics, Statistics, Mathematics, Data Science, or a related field.

• Proven experience in quantitative finance, data science, or a related role.

• Strong programming skills in Python, R, or similar languages.

• Experience with statistical analysis, machine learning, and data visualization tools.

• Knowledge of financial markets, instruments, and investment strategies.

• Excellent analytical, problem-solving, and critical-thinking skills.

• Ability to communicate complex concepts to non-technical stakeholders effectively.

• Experience with database management and SQL is a plus.

• CFA or FRM certification is a plus.