Description

Graham Capital Management, L.P. is seeking a Quantitative Research Analyst to join our Quantitative Strategies team, and report into a Quantitative Research Manager. The individual will research and develop ways to improve GCM’s current trading systems while creating new systematic trading signals to complement and diversify the firm’s main strategies. The individual will maximize performance and competitiveness by utilizing advanced methods in quantitative analysis, risk management and portfolio optimization.

Responsibilities

• Research and develop methods to make existing trading signals more efficient, profitable and robust
• Research and develop new signals that complement and diversify production strategies in terms of style, source of alpha and markets traded
• Research and develop portfolio construction and optimization methods to maximize performance while controlling risk, drawdowns and trading cost
• Enhance the scalability and flexibility of portfolios to accommodate bespoke investment needs of clients
• Follow robust research and development procedures to reduce differences between simulated and actual performance
• Work collaboratively in a research team environment, using common development tools to facilitate robust implementation of research as well as production versions of trading systems
• Interact with other departments – technology, operations, trading, marketing, and accounting - to ensure current and proposed ideas are implemented, monitored and executed efficiently and accurately
• Regularly present findings and ideas to management and investment committee
• Complete other projects as requested by senior management

Requirements

• PhD or MS in a quantitative field
• 2+ years related experience in systematic trading on the buy side, primarily targeting futures and FX, but also open to sovereign credit, options, and OTC markets. Knowledge in short-term/intraday systematic trading strategies is desired
• Advanced programming experience in languages suited for quantitative research and strategy implementation
• Ability to synthesize complex topics into easily digestible written commentary
• Strong communication skills – both written and verbal

This role requires commuting into one of our offices Mondays through Fridays. We have offices in Rowayton, CT, New York, NY, West Palm Beach, FL, and London, UK. Please note that our central Quantitative Research team sits out of Rowayton, CT.

Base Salary Range

The anticipated base salary range for this position is $200,000 to $275,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future.

In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.

Notes:

No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law.

Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.

Description

Graham Capital Management, L.P. is seeking a mid-level IT analyst to join the firm’s tech-support help desk team. The analyst will sit on the trading floor and provide operational support for firm-wide end user application and workstation hardware support. This role is based out of our Rowayton, Connecticut office, and will require flexibility to cover our New York City office as business needs arise, anticipating up to four weeks per year.

Responsibilities

• Install, maintain, and troubleshoot workstations, including performing software upgrades
• Provide support for market data and trade execution platforms
• Execute daily operational procedures, including morning system status checks, data center inspections, and managing trouble ticket workflows
• Participate in team meetings and collaborate effectively with colleagues
• Provide off-hours support as part of a rotating schedule with other team members

Requirements

• 5+ years of experience providing technical support for workstations
• BA/BS in Computer Science or related field
• Strong problem-solving and troubleshooting skills related to workstation hardware, computer systems and applications
• Experience with all Microsoft desktop software, particularly Microsoft Windows 11 and Office 365
• Financial Services industry experience; familiarity with market data applications from vendors such as Bloomberg and Refinitiv
• Excellent interpersonal and communication skills (verbal and written)
• Ability to work independently and collaboratively in a dynamic, fast-paced environment, often working on several projects at once
• Familiarity with Backup, Desktop Patching, VMware, or Ivanti product suite is desired
• Printer and/or print vendor management is desired
• Mobile Device Management (iOS/Android) is desired

Base Salary Range

The anticipated base salary range for this position is $120,000 to $160,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future.

In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.

Notes:

No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law.

Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.

Hi, we're Oscar. We're hiring an Analyst II, Actuarial to join our Actuarial.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Analyst II, Actuarial maintains Oscar's forecasting, valuation, and pricing processes for several Affordable Care Act (ACA) markets. You will oversee regularly maintaining and reviewing actuarial models used to develop pricing, forecasting, trend analytics, Incurred but not Reported (IBNR) projections and risk adjustment accruals.

You will report into the Manager, Actuarial.

Work Location: This is a remote position, open to candidates who reside in: Hartford, CT. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $72,800 - $95,500 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:

• Maintain core pricing and plan design models. Ensure consistency and standardization across team users.
• Important contributor in developing and submitting regulatory filings, and developing a viewpoint and recommendation for strategic pricing decisions.
• Develop and provide recommendations for the accrual setting process with respect to IBNR claims, Risk adjustment and Shared Savings deals.
• Identify and triages meaningful observations of experience across plan designs, providers, vendors, and markets.
• Promote and shape Oscar actuarial best practices concerning automation and documentation.
• Maintain relationships, rapport, and lines of communication with all partners.
• Aid in the onboarding of analysts by collaborating and integrating them into existing processes.
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• Bachelor's degree in a STEM field.
• Passed a minimum of two actuarial exams.
• 2+ years of experience in a related field.

Bonus points:

• Experience with health insurance concepts and nuances.
• Highly technical with a strong enthusiasm to apply tech-forward methods in actuarial models.
• Proficient in coding

Hi, we're Oscar. We're hiring a Senior Actuarial Analyst to join our Actuarial team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Senior Analyst, Actuarial will play a key role in Oscar’s valuation function, focusing specifically on risk adjustment across all Affordable Care Act (ACA) markets. This role will own the maintenance and review of actuarial models used to develop risk adjustment accrual estimates, forecasting estimates, and various other analyses.  This is a very dynamic space, which makes this a great opportunity to work on interesting projects and have a BIG impact.

You will report into the Director, Actuarial.

Work Location: This is a remote position, open to candidates who reside in:  Hartford, CT. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $101,844 - $133,670 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:

• Model Management: Maintain and enhance core risk adjustment reporting and forecasting models, ensuring consistency and standardization across all team users.
• Infrastructure & Design: Serve as a key contributor in improving modeling infrastructure; develop recommendations for model design decisions, best practices, and automation/documentation standards.
• Financial Strategy: Develop recommendations for the risk adjustment accrual setting process and provide data-driven insights for the financial planning process.
• Trend Analysis: Identify, triage, and investigate core drivers of observed trends across plan designs, providers, vendors, and markets.
• Stakeholder Engagement: Maintain strong relationships and clear lines of communication with internal and external stakeholders.
• Team Development: Aid in the onboarding of new analysts by collaborating and integrating them into existing processes.
• Governance: Compliance with all applicable laws and regulations.
• Other duties as assigned.
•  

Requirements:

• Bachelor's degree in a STEM field.
• Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one.
• 3+ years of experience in a related field.

Bonus points:

• Strong knowledge of core health insurance concepts and experience with actuarial applications.
• Highly technical with a strong enthusiasm to apply tech-forward methods in actuarial models.

Description

Graham Capital Management, L.P. is seeking a Quantitative Research Analyst with a specialization in Smart Execution and intraday trading signals to join our Quantitative Strategies team. The role is an excellent opportunity for a quantitative researcher to diversify their experience and join a dynamic team in a high-impact role.

Responsibilities

• Develop and optimize proprietary execution strategies and intraday systematic strategies for Futures and FX
• Perform market microstructure research to develop trading signals and understand execution costs
• Understand, measure, and evaluate the performance of internal and broker execution algorithms
• Collaborate with other team members to implement execution and intraday strategies and proactively provide feedback and ideas for improving our systems and processes

Requirements

• MS or PhD in a quantitative field such as science, engineering, or finance
• 3+ years of related experience at a bank, asset management, hedge fund, or prop trading firm
• Successful track record of developing intraday alpha signals or execution algos in the Futures or FX space
• Experience working with tick/order book data, microstructure signals, analyzing large datasets, and developing predictive statistical models
• Advanced programming skills in languages suited for quantitative research and strategy implementation – preferably Python and C++
• Experience with execution algos and intraday systematic strategies preferred
• Exposure to machine learning and high-performance computing would be helpful in this role
• Experience with options trading algorithms is a plus

This role requires commuting into our Rowayton CT office Mondays through Fridays.

Base Salary Range

The anticipated base salary range for this position is $175,000 to $250,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future.

In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.

Notes:

No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law.

Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.