Role & Company Overview
📋 Role Overview & Responsibilities
Inclusively is partnering with a financial services company to hire a Quantitative Developer. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**
ABOUT INCLUSIVELY:Inclusively is a digital tech platform that connects candidates with disabilities, who may benefit from workplace accommodations, to inclusive employers. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD). Applicants with one or more of these conditions are encouraged to apply; Inclusively does not require applicants to disclose their specific disability.
We are looking for a Quantitative Developer to join our Asset Management’s (SAM) Thematic Investing team, which is responsible for the systematic, data-driven thematic investing products. The team develops Natural Language Processing models, explores alternative data, and builds portfolio construction algorithms and backtest engines. As part of the research team, the quantitative developer will be an integral part of the investing process, implementing the models and infrastructure that power the investment products.
The Thematic Investing team is part of SAM’s Quantitative Innovation team, which provides research support for SAM equity and fixed-income offerings, including our company Personalized Indexing (the firm’s direct indexing offer) and Multi-Asset Research. Working closely with portfolio managers, technology partners, and product and sales teams, the research team is an integral part developing and delivering top-quality research and investment product. This is a great opportunity for moving to a quant role on the buy-side.
Key job responsibilities will include, but not be limited to:Developing both exploratory analysis and production code, primarily in Python, for analyzing data, backtesting investment strategies and monitoring existing productsApplying data science, including Natural Language Processing and data engineering, to process and analyze unstructured data to provide investment insightsMaintaining large-scale financial data and applying risk models to build equity investment strategiesCollaborating closely with engineers and researchers to turn research ideas into production code and investing products
What you haveRequired Qualifications:2+ years of experience developing software and data systemsExperience with object-oriented Python and demonstrated ability to write clean, maintainable and robust production codeBachelor’s, Master’s or PhD degree in Computer Science, Financial Engineering, Financial Mathematics, Statistics or another highly quantitative fieldPreferred Qualifications:Firm grasp of applied statistical concepts and techniques, including probability, regression and time series analysisExperience with financial data and systematic investing strategiesDriven, self-motivator with attention to detailIntellectual curiosity and strong problem solving and critical thinking skills
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
Why work for us?Own Your Tomorrow embodies everything we do! We are committed to helping our employees ignite their potential and achieve their dreams. Our employees get to play a central role in reinventing a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth.
Benefits: A competitive and flexible package designed to empower you for today and tomorrow. We offer a competitive and flexible package designed to help you make the most of your life at work and at home—today and in the future.
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This position is located in San Francisco, CA with potential relocation and sponsorship assistance depending on candidate qualifications.
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