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Remote Mathematical Engineer Jobs in Connecticut

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Partner with Actuarial, Data Engineering, and other modeling organization teams to connect modeling ... D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science ...

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Remote Mathematical Engineer information

What is a Remote Mathematical Engineer?

A Remote Mathematical Engineer is a professional who applies advanced mathematical theories, techniques, and computational methods to solve complex problems in various fields, such as engineering, finance, technology, and data science, while working from a remote location. They often develop algorithms, create mathematical models, and analyze data to support decision-making or product development. Remote roles allow these engineers to collaborate with teams and clients online, using specialized software and communication tools. This position typically requires strong analytical skills, proficiency in mathematics and programming, and the ability to work independently.

How do Remote Mathematical Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Mathematical Engineers often work closely with software developers, data scientists, and project managers using collaborative tools like video conferencing, shared code repositories, and project management platforms. Regular virtual meetings help ensure alignment on project goals and allow for real-time problem-solving. Effective communication and documentation skills are essential, as much of the collaboration happens asynchronously. Building strong relationships with team members and proactively sharing progress updates are key to thriving in this remote, team-oriented environment.

What is the difference between Remote Mathematical Engineer vs Remote Data Scientist?

AspectRemote Mathematical EngineerRemote Data Scientist
Required CredentialsMathematics, Engineering, or related technical degrees; strong analytical skillsStatistics, Computer Science, or related degrees; data analysis expertise
Work EnvironmentCollaborates with engineering teams on algorithm development and modelingAnalyzes data to extract insights, builds predictive models
Employer & Industry UsageTech, finance, aerospace, research institutionsTech companies, finance, healthcare, consulting
Search & Comparison IntentFocuses on mathematical modeling and engineering solutionsFocuses on data analysis and machine learning applications

Remote Mathematical Engineers primarily develop mathematical models and algorithms for engineering problems, often working closely with technical teams. Remote Data Scientists analyze large datasets to generate insights and predictive models. While both roles require strong analytical skills and technical backgrounds, their focus areas differ: engineering solutions versus data analysis.

What are the key skills and qualifications needed to thrive as a Remote Mathematical Engineer, and why are they important?

To thrive as a Remote Mathematical Engineer, you need a strong background in advanced mathematics, problem-solving, and programming, typically with a degree in mathematics, engineering, or a related field. Familiarity with tools like MATLAB, Python, R, and mathematical modeling software, as well as experience with version control systems such as Git, is important. Strong analytical thinking, self-motivation, and effective remote communication skills help you excel in collaborative and independent work environments. These competencies ensure you can develop, implement, and communicate complex mathematical solutions for real-world problems while effectively collaborating across distributed teams.
What are the most commonly searched types of Mathematical Engineer jobs in Connecticut? The most popular types of Mathematical Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Mathematical Engineer jobs? Cities in Connecticut with the most Remote Mathematical Engineer job openings:
Quantitative Portfolio Manager - Custom Indexing (L/S strategies)

Quantitative Portfolio Manager - Custom Indexing (L/S strategies)

O'Shaughnessy Asset Management

Stamford, CT • On-site, Remote

Full-time

Medical, PTO

Re-posted 10 days ago


Job description

O'Shaughnessy Asset Management (OSAM) is owned by Franklin Templeton, a dynamic firm that spans asset management, wealth management, and fintech, giving us many ways to help investors make progress toward their goals. With clients in over 150 countries and offices on six continents, you'll get exposed to different cultures, people, and business development happening around the world.

O'Shaughnessy Asset Management (OSAM) operates independently as a Specialist Investment Manager and is a research and money management firm based in Stamford. Our approach to managing money is transparent, logical, and completely disciplined, leading to longstanding relationships with our clients. We are a leading provider of Custom Indexing services via CANVAS. CANVAS is a platform offering financial advisors an unprecedented level of control and ease in creating and managing client portfolios in separately managed accounts (SMAs). Advisors can set up custom investment templates, access factor investing strategies, utilize passive strategies, actively manage taxes, and apply ESG investing and SRI screens according to the specific needs, preferences, and objectives of individual clients.


For more firm information, please visit www.osam.com

Summary:

CANVAS is a revolutionary custom indexing platform that enables financial advisors to create personalized, tax-efficient portfolios at scale.OSAM's investment team is hiring a Quantitative Portfolio Manager to join the team in either New York, NY, Stamford, CT, or other nearby location with the possibility of remote work. The Portfolio Manager will help expand OSAM's capabilities across systematic equity strategies, including long-only and long-short mandates. Come join our growing team and help shape the future of investing!

Role Overview:

The Portfolio Manager plays a central role in developing, implementing, and managing systematic long-only and long-short equity strategies within OSAM's quantitative framework. The role requires deep expertise in portfolio construction, alpha research, and risk management-paired with a curiosity-driven mindset and the ability to collaborate across research, trading, and technology functions.
As a Portfolio Manager, you will contribute to advancing OSAM's investment platform by designing robust, research-backed strategies that align with client objectives and the firm's culture of transparency, discipline, and intellectual rigor.

What are the Responsibilities of the Portfolio Manager?

Research & Alpha Development -

  • Develop and refine factor-based models targeting persistent sources of alpha.

  • Conduct empirical research into new signals, portfolio construction methods, and cross-sectional and time-series relationships.

  • Incorporate insights from behavioral finance, accounting changes, and market microstructure to improve alpha efficiency.

  • Collaborate with Research Analysts and Quant Developers to evaluate factor performance, turnover, and risk.

Portfolio Construction & Risk Management -

  • Design and manage long-only and long-short portfolios that balance alpha generation, liquidity, and risk constraints.

  • Utilize optimization frameworks to manage exposures, sector constraints, and factor diversification.

  • Monitor real-time risk exposures, attribution, and performance drivers across multiple investment universes.

  • Integrate and enhance risk models (statistical and fundamental) to support portfolio and firm-level oversight.

  • Implement systematic position sizing, short borrow management, and leverage controls consistent with mandate guidelines.

  • Partner with the Trading teams to ensure efficient execution of trades with minimal slippage and market impact.

Qualifications & Experience:
  • 5+ years of experience in quantitative portfolio management or research, with direct exposure to long-only, long-short equity and/or multi-factor strategies.

  • Advanced degree (Master's or Ph.D.) in Finance, Mathematics, Statistics, Computer Science, Engineering, or related field.

  • Strong programming skills (Python and SQL required; C# preferred) and familiarity with large data environments.

  • Deep understanding of portfolio optimization, risk models, and execution cost modeling.

  • Demonstrated ability to manage live portfolios and make data-driven investment decisions.

  • CFA designation preferred but not required.

  • Must be eligible to work in the U.S. without current or future sponsorship - unable to provide visa support

Compensation: Franklin Templeton offers employees a competitive and valuable range of total rewards-monetary and non-monetary - designed to supporttheir well-being and recognize their time, talents, and results.Along with base compensation, employees are eligible for an annual discretionary bonus, a401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options,insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement forcertain educationexpenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program. We expect the base salary for this position to range between $195,000 - $225,000, depending on level of relevant experience and geographic location, plus bonus.

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Experience our welcoming culture and reach your professional and personal potential!


Our culture is shaped by the variety of perspectives and experiences brought by talent from around the world. Regardless of your interests, lifestyle, or background, there's a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.
By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life's adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered.

Learn more about the wide range of benefits we offer at Franklin Templeton
*Most benefits vary by location. Ask your recruiter about benefits in your country.

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.

If you believe that you need an accommodation or adjustment, due to a medical condition or disability, to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number of the position you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.