AI Data Scientist

Posted 10 Days Ago
Be an Early Applicant
Hiring Remotely in Keat Hong Village, SGP
Remote
Mid level
Financial Services
The Role
Develop, train, fine-tune, evaluate, and deploy AI/ML models and LLM-powered data products. Build end-to-end model pipelines, feature engineering, monitoring, and production deployment. Apply generative AI for summarization, classification, knowledge extraction and semantic search. Collaborate with product, engineering, and business teams and integrate third-party tools and open-source models.
Summary Generated by Built In

ROLE

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s Data Services (CDS) group is looking for an AI Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

RESPONSIBILITIES 

  • Build AI-powered data products using machine learning models, large language models, and modern AI tools.
  • Design, train, fine-tune, evaluate, and deploy in-house AI/ML models using proprietary and external datasets.
  • Develop end-to-end model pipelines covering data preparation, feature engineering, training, validation, deployment, and monitoring.
  • Apply generative AI and LLM techniques to use cases such as summarization, classification, knowledge extraction, semantic search, and workflow automation.
  • Work with product, engineering, and business teams to translate business problems into scalable AI solutions.
  • Evaluate and integrate third-party AI tools, APIs, open-source models, and internal models where appropriate.
  • Build data pipelines and model workflows for structured and unstructured data.
  • Define model performance metrics, run experiments, conduct error analysis, and continuously improve model quality.
  • Support production deployment of AI models, ensuring reliability, scalability, governance, and responsible AI usage.

REQUIREMENTS 

  • PhD in Computer Science, with a specialization in AI or machine learning related domains
  • Strong programming skills in Python and SQL
  • Strong publication record in top tier machine learning conferences
  • 3+ years of experience as a Data Scientist or similar role
  • Experience working with large data sets including predictive modeling
  • Financial industry experience preferred but not required
  • Strong organization, communication and interpersonal skills
  • Intellectual curiosity and enthusiasm for learning
  • Attention to detail and a love of processes
  • Strong oral and written communication skills
  • Ability to multitask and prioritize assignments
  • Commitment to the highest ethical standards

Skills Required

  • PhD in Computer Science with specialization in AI or machine learning related domains
  • Strong programming skills in Python and SQL
  • Strong publication record in top tier machine learning conferences
  • 3+ years of experience as a Data Scientist or similar role
  • Experience working with large datasets including predictive modeling
  • Experience designing, training, fine-tuning, evaluating, and deploying ML models and LLMs
  • Experience with generative AI techniques, semantic search, summarization, classification, and knowledge extraction
  • Experience integrating third-party AI tools, APIs, and open-source models
  • Strong organization, communication, and interpersonal skills
  • Intellectual curiosity and enthusiasm for learning
  • Attention to detail and a love of processes
  • Ability to multitask and prioritize assignments
  • Commitment to the highest ethical standards
  • Financial industry experience

Point72 Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Point72 and has not been reviewed or approved by Point72.

  • Healthcare Strength Healthcare coverage is described as exceptional with comprehensive options and low out-of-pocket costs. Medical, dental, and vision are characterized as fully covered or no-premium for U.S. employees.
  • Retirement Support The 401(k) program features a generous employer match and access to after-tax contributions with in-plan Roth conversions. Value accrues through a multi-year vesting schedule that rewards tenure.
  • Parental & Family Support Parental and family leave is highlighted as generous and has strengthened over time. Clear primary and secondary caregiver policies are in place and seen as competitive.

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The Company
HQ: Stamford, CT
1,691 Employees
Year Founded: 2014

What We Do

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

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