Lead Computational Finance Scientist

Department Summary

MITRE is currently seeking motivated and qualified applicants for a Computational Finance (CompFi) Scientist to join our Financial Innovation Laboratory (FINLab) and Model-Based Analytics Department (L144) in the Modeling and Simulation Innovation Center.

Roles & Responsibilities

• Develop innovative, multidisciplinary approaches for analyzing financial data and trends that may impact the US financial system and markets
• Provide expert analysis and/or develop research proposals on issues related to improving financial regulation and banking supervision, adopting new technologies to support distributed ledger or faster payments, or implementing advanced financial analytics
• Understand US, mission partner, and adversary capabilities and assess potential threats to U.S. financial stability and security
• Conduct analytic and simulation-based analyses using financial data to provide new insights which support policy-level decision making
• Provide US Treasury and related sponsors with commercial and market analysis of national interest areas, and methodologies to identify mitigation alternatives

Basic Qualifications

• Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years of experience; or equivalent combination of related education and work experience.
• Very strong academic credentials in quantitative or computational finance
• Experienced researcher as evidenced by a peer reviewed publication record
• Experience and expertise in financial analysis and market modeling
• Experience in designing and executing impactful research
• Able to bridge finance, computational, and data analytic domains
• Experience working in a technical environment with multidisciplinary teams on critical national security challenges
• Passion for developing new technology and analytics for solving national challenges
• Excellent analytic writing and verbal/presentation skills to senior leaders
• Experience or familiarity with visualizing multi-dimensional financial data or events, using tools such as Tableau, Plotly, ggplot2, matplotlib, seaborn, or D3.js
• Demonstrated ability to manipulate large financial datasets and time series data and perform calculations with at least one modern programming language, e.g., Python (utilizing packages like scikit-learn, pandas, or dask), R (utilizing packages like caret, dplyr, or data.table), or other modern language
• Ability to apply, modify and formulate algorithms and processes to solve computational financial problems
• Ability to obtain and maintain Top Secret clearance

Preferred Qualifications

• PhD in a quantitative discipline, with deep knowledge of financial markets and market dynamics
• Experience with U.S. Treasury, Financial Regulators, or with the commercial side such as the Banking or Finance Industry
• Experience performing novel market research and analyses
• Scientific publication is expected
• Research experience with the global financial system
• Able to bridge finance, computational, economics, and data analytic domains
• Includes complex systems, complexity economics, or ergodic economics
• Experience applying various machine learning approaches (e.g., random forest, neural networks, support vector machines)
• Experience working with databases (e.g., PostgreSQL, Oracle, MySQL, MongoDB, Neo4J)
• Experience using version control (e.g., Git, Mercurial, SVN) to support collaborative development
• Experience utilizing notebooks (e.g., Jupyter, R Markdown, Zeppelin) to develop interactive data visualizations using open-source technologies (e.g., Angular, Vue, React, D3.js) or other frameworks (e.g., Shiny)