MITRE · 15 hours ago
Computational Finance Technology and Regulation Analyst
MITRE is a not-for-profit corporation dedicated to tackling the nation's toughest challenges. They are seeking a Computational Finance Technology and Regulation Analyst to provide expert analysis and consulting to Federal Government clients, focusing on transforming regulatory processes and enhancing the safety and security of the US Banking System.
Cyber SecurityInformation TechnologyNon ProfitQuantum ComputingSaaS
Responsibilities
Develop innovative, multidisciplinary approaches for analyzing financial data and trends that may impact the US financial system and markets
Advise government sponsors on the technologies and business processes impacted by the transformation of Faster Payments and Payment models
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
Qualification
Required
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' experience; or equivalent combination of related education and work experience
Very strong academic credentials in quantitative or computational finance
Seasoned experienced researcher as evidenced by a peer reviewed publication record
Extensive experience and expertise in financial analysis and market modeling
Experience in designing, executing and transitioning impactful research
Ability to bridge finance, computational, and data analytic domains
Thrives in 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
Excellent interpersonal skills, and effective working relationships with internal and external customers
Demonstrated experience working on or leading customer facing engagements emphasizing quantitative or computational finance
Experience or familiarity with visualizing multi-dimensional financial data or events, using tools like 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 like 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
Desire and ability to obtain and hold a DoD Secret clearance
This position requires a minimum of 50% hybrid on-site
Preferred
Advanced degree (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 an additional bonus
Research experience with the global financial system
Experience leading teams in a technical environment and designing computational finance tasking
Experience with building and shaping work programs
Ability to bridge finance, computational, economics, and data analytic domains. While this position is centered upon financial systems and their dynamics, the ideal candidate will bring a multidisciplinary perspective, in terms of tools and techniques, to this that includes complex systems, complexity economics, or ergodic economics
Familiarity working in cloud-based computing environments like Amazon Web Services, Google Cloud, or Microsoft Azure
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)
Experience developing interactive data visualizations using open-source technologies (e.g., Angular, Vue, React, D3.js) or other frameworks (e.g., Shiny)
While ability to obtain a DoD Secret Clearance is necessary, preferred candidates will have an active DoD Secret or higher clearance
Company
MITRE
The MITRE Corporation is working to solve some of the nation’s biggest challenges in defense, cybersecurity, healthcare, homeland security, the judiciary and transportation.
Funding
Current Stage
Late StageTotal Funding
$2.05MKey Investors
US Department of EnergyMassachusetts Technology Collaborative
2023-07-27Grant
2023-06-08Grant· $2.05M
Leadership Team
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