Lead Computational Finance Scientist Security Clearance

Position: Lead Computational Finance Scientist with Security Clearance
At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We're a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S. government agencies - collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation's health, security, and prosperity.

Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose - and help shape the future.

Department Summary:

MITRE is currently seeking motivated and qualified applicants for a Computational Finance (Comp Fi) Scientist to join our Financial Innovation Laboratory (FINLab) and Model-Based Analytics Department (L144) in the Modeling and Simulation Innovation Center. In FINLab, our Computational Finance scientists provide expert analysis and consulting to our Federal Government clients in transforming their technologic and regulatory processes to enhance the safety, stability, and security of the US Banking System, market infrastructure, and Financial Markets.

Join a highly skilled team executing research, performing analyses and advising multiple stakeholders. These studies of national significance will be executed in collaboration with industry, academic, and governmental experts and stakeholders. This provides us with unprecedented access to expertise, ideas, and data. You will be a critical Finance subject matter expert (SME) as part of a growing, agile, multidisciplinary team working with academics, the Financial Sector, and US Financial Regulators.

Competitive applicants will have demonstrated expertise in the following areas:
Financial Market Microstructure and Regulation, Payment Systems, Fintech, Regulatory Tech and Supervisory Tech, Financial Analytics, Market Modeling and Simulation, and Simulation-based Analysis.

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.

* Ability 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…