xAI Logo

xAI

Finance Expert - Quant

Reposted 18 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
45-100 Hourly
Expert/Leader
Remote
Hiring Remotely in USA
45-100 Hourly
Expert/Leader
The role involves providing high-quality input and data labeling for AI model training in quantitative finance, collaborating with technical teams, and ensuring innovation in algorithmic investment strategies.
The summary above was generated by AI
ABOUT xAI

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

As a Quantitative Finance Expert, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced quantitative finance domains, with a focus on algorithmic investment strategies where your expertise can drive significant improvements in model performance.This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

As a Quantitative Finance Expert, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. Quantitative Finance Experts teach our AI models about how people interact and react, as well as how people approach issues and discussions in quantitative finance. To accomplish this, Quantitative Finance Experts will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate.

A Quantitative Finance Expert will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and experts are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and Quantitative Finance Experts acknowledge that all work is done for hire and owned by xAI.

RESPONSIBILITIES:
  • Use proprietary software applications to provide input/labels on defined projects.
  • Support and ensure the delivery of high-quality curated data.
  • Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
  • Interact with the technical staff to help improve the design of efficient annotation tools.
  • Choose problems from quantitative finance fields that align with your expertise, focusing on areas like portfolio optimization, derivatives pricing, or high-frequency trading backtests, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.
  • Regularly interpret, analyze, and execute tasks based on given instructions.
BASIC QUALIFICATIONS:
  • Must possess a Master's or PhD in a quantitative finance-related field (Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, Economics with quantitative focus, or related disciplines) or equivalent professional experience as a quantitative trader or analyst.
  • Proficiency in reading and writing, both in informal and professional English.
  • Strong ability to navigate various financial information resources, databases, and online resources (e.g., Bloomberg, Reuters, SEC filings).
  • Outstanding communication, interpersonal, analytical, and organizational capabilities.
  • Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
  • Strong passion for and commitment to technological advancements and innovation in quantitative finance.
PREFERRED SKILLS AND EXPERIENCE:
  • Professional experience as a quantitative trader or analyst.
  • Possesses experience with at least one publication in a reputable finance or economics journal or outlet.
  • Teaching experience as a professor
  • Familiarity with Python/R for financial scripting or ML libraries (e.g., QuantLib)
  • FRM (Financial Risk Manager)
  • CQF (Certificate in Quantitative Finance)
  • PRM (Professional Risk Manager)
  • CAIA (Chartered Alternative Investment Analyst)
  • CFA (Chartered Financial Analyst)
LOCATION AND OTHER EXPECTATIONS:
  • Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
  • For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required.  On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. 
  • Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
  • For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
  • We are unable to provide visa sponsorship.
  • For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.
COMPENSATION AND BENEFITS:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

HQ

xAI San Francisco, California, USA Office

3180 18th St., San Francisco, CA, United States

xAI Palo Alto, California, USA Office

1450 Page Mill Road, Palo Alto, CA, United States

Similar Jobs

3 Hours Ago
Remote or Hybrid
California, USA
177K-294K Annually
Senior level
177K-294K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Specialty Care Field Medical Director will lead medical strategies and engagements, providing expertise and insights to external medical stakeholders to improve patient care and enhance understanding of disease states.
Top Skills: Health LiteracyMedical Communication TechnologyPfizer Medicines
3 Hours Ago
Remote or Hybrid
4 Locations
231K-385K Annually
Senior level
231K-385K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Oncology Field Medical Director leads medical strategy and engagements for hematology, providing expert information and support to various healthcare professionals while collaborating with internal teams and managing patient-centric medical communications.
Top Skills: Digital TechnologyMedical Content DeliveryTherapeutic Area Expertise
3 Hours Ago
Remote or Hybrid
Florida, USA
177K-294K Annually
Senior level
177K-294K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Hematology Field Medical Director is responsible for executing medical strategy, providing expertise in malignant hematology, engaging with healthcare providers, and delivering accurate medical information while managing a significant volume of projects.
Top Skills: Communication SkillsData AnalysisDigital TechnologyMedical Strategy

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account