Quantitative developer [h1.location_city]
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Quantitative developer • lynn ma
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Develops quantitative software applications and full-stack solutions using technical tools R, Python, PL / SQL databases, and Artificial Intelligence / Machine Learning (AI / ML) toolkits.Performs ana...[show_more][last_updated.last_updated_30]
This role is ideal for someone who loves working with data, solving complex problems, and making a measurable impact.Analysts are not just a reporting function at EverQuote; they lead cross functio...[show_more][last_updated.last_updated_variable_hours]
Wayfair Customer Tech Team Quantitative Lead User Researcher.This is a hybrid role based out of our Boston HQ.Candidates will be expected to comply with the team's hybrid schedule (remote Monday / Fr...[show_more][last_updated.last_updated_variable_days]
Position Description : Primary Responsibilities : Education and Experience : Bachelor’s degree in Mathematical Finance and Financial Technology, Engineering, Statistics, Mathematics, or a closely rela...[show_more][last_updated.last_updated_variable_days]
Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients.
We offer investment strategies and solutions where we...[show_more][last_updated.last_updated_variable_hours]
An experienced Pharmacometrician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead quantitative pharmacology activities for clinic...[show_more][last_updated.last_updated_variable_days]
In the context of our high-frequency trading business, researchers are constantly crunching large datasets in order to decode the inner workings of the market and improve trading models.We're looki...[show_more][last_updated.last_updated_30]
Quantitative Trading Specialist.At MFS, you will find a culture that supports you in doing what you do best.Our employees work together to reach better outcomes, favoring the strongest idea over th...[show_more][last_updated.last_updated_30]
Focus on the core content of the job post, removing any extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.[show_more][last_updated.last_updated_30]
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Tak...[show_more][last_updated.last_updated_30]
A global investment management firm is expanding its Boston-based quantitative team and seeking candidates for a role focused on assessing private equity markets and enhancing investment decision-m...[show_more][last_updated.last_updated_variable_days]
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Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets.
Our investment solutions, tailored to the unique return and...[show_more][last_updated.last_updated_variable_days]
Quantitative Risk Analyst (State Street Bank and Trust Company; Boston, MA) : The Quantitative Risk Analyst will focus on delivering modeling and analytics solutions to business units across State S...[show_more][last_updated.last_updated_30]
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners...[show_more][last_updated.last_updated_30]
Senior Quantitative Researcher Risk System Lead.Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management.The firm pursues invest...[show_more][last_updated.last_updated_variable_days]
The Team – Investment Data Engineering & Analytics (IDEA).The Investment Data Engineering & Analytics (IDEA) team sits within the Investment Platform (IP) COO organization.The IP COO group is respo...[show_more][last_updated.last_updated_30]
The Research and Development team within the Portfolio Engineering group is responsible for the research and development of investment methodologies that enable SAI to manage personalized client po...[show_more][last_updated.last_updated_variable_days]
Please note that applications will be assessed on a rolling basis.Due to anticipated interest, the role may close earlier than the stated deadline.
We recommend submitting your application promptly....[show_more][last_updated.last_updated_variable_hours]
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[job_preview.job_type]
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[job_card.job_description]Demonstrated Expertise (“DE”) developing systems to build quantitative models for systematic financial investments using R and Python; developing time series forecasting models, multi-asset class portfolio construction strategies, risk management tools and alpha research to build investment strategies, using R, Python, MSCI Barra and Morningstar; and building automated diagnostic reporting processes for model risk management using R and Python. DE prototyping and deploying large scale data science projects, and AI / ML models and interfaces using Spark, Tensorflow, Python data science libraries, and Deep Learning (DL) frameworks on Amazon Web Services (AWS) and On-premise computing environments; and developing investment tools and strategies using Natural Language Processing (NLP), Large Language Models (LLM), Neural Networks, and Supervised and Unsupervised Learning algorithms. DE building data analytics life cycle for internal and vendor-based financial markets data, using Python, Autosys and PL / SQL databases; developing complex mechanisms and performance tuned PL / SQL queries to extract data from databases, APIs, and build processes (for data transformation, standardization, cleansing, and aggregation) using Python and Informatica; building algorithms for large scale data processing and investment risk calculations using distributed computing and parallel processing techniques; and building dashboards for alpha and beta performance analysis using Python Dash, R Shiny, and Tableau. DE building highly scalable production-ready code complying with software engineering practices using Kubernetes and Docker systems; performing Continuous Integration / Continuous Deployment (CI / CD) (using Linux and Jenkins), code versioning (using Github), batch scheduling (using Autosys and Airflow), and REST APIs (using FastAPI and Flask); and creating executables using AWS Lambda, S3, and EC2.
Job Description
Position Description :
Develops quantitative software applications and full-stack solutions using technical tools R, Python, PL / SQL databases, and Artificial Intelligence / Machine Learning (AI / ML) toolkits. Performs analytics and builds quantitative process frameworks to support investment needs and develop new solutions. Executes probability, linear regression, time series data analysis and data science models. Designs and develops new quantitative models and products for equities, fixed income, and alternative asset classes. Ensures repeatability on projects through software development standard methodologies. Collaborates with multiple partners, includes fundamental and quantitative researchers, technology partners and senior management. Develops original and creative technical solutions to support on-going development efforts.
Primary Responsibilities :
- Develops original and creative technical solutions to support on-going development efforts.
- Designs applications or subsystems on major projects involving multiple platforms and supports a range of divisional initiatives.
- Supports and performs all phases of tests leading to implementation.
- Establishes project plans for projects of moderate scope.
- Performs independent and complex technical and functional analysis for multiple simultaneous projects.
- Analyzes information to determine, recommend, and plan computer software specifications on major projects and proposes modifications and improvements based on user need.
- Develops software system tests and validation procedures, programs, and documentation.
Education and Experience :
Bachelor’s degree (or foreign education equivalent) in Computer Science, Computational Finance, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing software applications and full-stack solutions for financial investments using R, Python, PL / SQL databases, or AI / ML techniques.
Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Computational Finance, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing software applications and full-stack solutions for financial investments using R, Python, PL / SQL databases, or AI / ML techniques.
Skills and Knowledge :
Candidate must also possess :
#PE1M2
Certifications :