American Fork, Utah, United States · Hybrid
$6k–$8k/mo
Location: Washington, DC , Florida and Texas Employment Type: Contract (3 months) Industry: Investment Management Role Overview We are seeking a highly analytical and mathematically driven Quantitative Research Scientist…
Skills: Quantitative Research, Python, Machine Learning, Artificial Intelligence, Mathematical Modeling
Mumbai City, Maharashtra, India · On-site
Location: Gurugram, India Engagement Type: Full-Time Interim Assignment (6 Months) Work Mode: Onsite About the Opportunity Bridge Et Al is partnering with a globally recognized professional and membership-based organizat…
Skills: HR Operations, Talent Acquisition, Performance Management, Compensation & Rewards, Learning & Development
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Develop and implement a Market Risk Indicator framework using the Log Periodic Power Law to identify market bubbles and regime shifts. Apply machine learning techniques to automate parameter estimation and integrate analytical tools into the firm's research infrastructure.
Requires a Master's or PhD in Mathematics, Data Science, or Computer Science. Candidates should have 1-2 years of experience in quantitative modeling and proficiency in Python and scientific computing libraries.
Location: Washington, DC , Florida and Texas
Employment Type: Contract (3 months)
Industry: Investment Management
We are seeking a highly analytical and mathematically driven Quantitative Research Scientist to join a leading investment management firm. The role focuses on developing a Market Risk Indicator (MRI) framework to support quantitative investment research and systematic investment strategies.
Research, understand, and implement the Log Periodic Power Law (LPPL) framework.
Develop mathematical models to identify market bubbles, regime shifts, and potential market turning points.
Extend the methodology to analyse multiple asset classes, including equities, bonds, commodities, currencies, cryptocurrencies, and macroeconomic indicators.
Research and evaluate alternative market risk methodologies, including Turbulence Index models and other quantitative risk indicators.
Apply Artificial Intelligence and Machine Learning techniques to automate LPPL parameter estimation.
Improve model calibration, optimisation, and prediction accuracy using modern data science methodologies.
Explore innovative approaches for identifying financial anomalies and super-exponential growth patterns.
Develop clean, scalable, and reusable analytical code primarily in Python.
Build flexible tools capable of analysing individual assets or multiple assets across custom and predefined time windows.
Ensure outputs can be integrated seamlessly into the firm's internal dashboards and research infrastructure.
Maintain documentation for models, assumptions, methodologies, and code.
Analyse large financial and economic time-series datasets.
Interpret model outputs and communicate research findings to investment professionals.
Support continuous improvement of quantitative research methodologies and contribute to future research initiatives.
Master's or PhD in one of the following disciplines:
Mathematics
Data Science
Computer Science
1–2 years of research or industry experience in quantitative modelling, data science, machine learning, or financial analytics.
Strong mathematical, statistical, and analytical problem-solving skills.
Experience in time-series analysis, optimisation, numerical methods, and statistical modelling.
Proficiency in Python and scientific computing libraries such as NumPy, Pandas, SciPy, and scikit-learn.
Working knowledge of Machine Learning and Artificial Intelligence techniques.
Ability to independently understand and implement complex mathematical research with minimal supervision.
Excellent programming skills with experience developing modular and maintainable code.
USD 6k-8k per month.
Connecting Freelance Experts in Change, HR, Digital, and Transformation Management to Strategic Projects Worldwide.
Welcome to Bridge Et Al, the premier platform connecting organizations with experts. As the gig economy redefines the future of talent management, Bridge Et Al is at the forefront, facilitating meaningful collaborations between skilled professionals and organizations. Our platform specializes in connecting experts in strategy, change management, transformation, human resources, and digitization with companies seeking exceptional talent for impactful and meaningful projects. At Bridge Et Al, we believe in the power of agility, expertise, and innovation to drive success in today's dynamic business landscape. Join us and discover the future of freelance work. Partner with Bridge Et Al to access unparalleled expertise and achieve your strategic goals.
Offices: 1 Raffles Quay, Central Business District, Singapore 048583, SG
Connecting Freelance Experts in Change, HR, Digital, and Transformation Management to Strategic Projects Worldwide.
Welcome to Bridge Et Al, the premier platform connecting organizations with experts. As the gig economy redefines the future of talent management, Bridge Et Al is at the forefront, facilitating meaningful collaborations between skilled professionals and organizations. Our platform specializes in connecting experts in strategy, change management, transformation, human resources, and digitization with companies seeking exceptional talent for impactful and meaningful projects. At Bridge Et Al, we believe in the power of agility, expertise, and innovation to drive success in today's dynamic business landscape. Join us and discover the future of freelance work. Partner with Bridge Et Al to access unparalleled expertise and achieve your strategic goals.
Offices: 1 Raffles Quay, Central Business District, Singapore 048583, SG
