Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
PhD Computer Science Expert for AI Training
California City, CA · On-site +1
$150/hr
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
PhD Computer Science Expert for AI Training
California City, CA · On-site +1
$150/hr
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Quick apply
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
PhD Computer Science Expert for AI Training
California City, CA · Remote
$150/hr
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
PhD Computer Science Expert for AI Training
California City, CA · Remote
$150/hr
Computational Science * Information Theory ... Quantitative Finance (highly preferred) * Statistics * Electrical & Computer Engineering
Bachelor's degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Computer Science, Finance, or other quantitative field, or equivalent experience. * Master's Degree or ...
Bachelor's degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Computer Science, Finance, or other quantitative field, or equivalent experience. * Master's Degree or ...
What we need to see: * BS/MS or equivalent experience in Business Analytics, Data Science, Economics, Computer Science, Finance, or similar related field. * 5+ years of experience using technology to ...
What we need to see: * BS/MS or equivalent experience in Business Analytics, Data Science, Economics, Computer Science, Finance, or similar related field. * 5+ years of experience using technology to ...
What we need to see: * BS/MS or equivalent experience in Business Analytics, Data Science, Economics, Computer Science, Finance, or similar related field. * 5+ years of experience using technology to ...
What we need to see: * BS/MS or equivalent experience in Business Analytics, Data Science, Economics, Computer Science, Finance, or similar related field. * 5+ years of experience using technology to ...
... Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other ... D. with a finance or business background is preferred. • Operations finance or other applied ...
New
... Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other ... D. with a finance or business background is preferred. • Operations finance or other applied ...
New
Manager / Sr. Manager, Finance AI & Automation
Fremont, CA · On-site
$119K - $162K/yr
Bachelor's degree in Data Science, Computer Science, Finance, Business, Engineering, or a related field * 5+ years of relevant experience * Working knowledge of AI and data concepts, including ...
Manager / Sr. Manager, Finance AI & Automation
Fremont, CA · On-site
$119K - $162K/yr
Bachelor's degree in Data Science, Computer Science, Finance, Business, Engineering, or a related field * 5+ years of relevant experience * Working knowledge of AI and data concepts, including ...
Power BI Developer
San Francisco, CA · On-site
Bachelor's degree in Engineering, Science, Finance, Computer Science, or Statistics. * Domain Knowledge: Previous experience in the banking or financial industry is preferred. * Tools: Familiarity ...
Power BI Developer
San Francisco, CA · On-site
Bachelor's degree in Engineering, Science, Finance, Computer Science, or Statistics. * Domain Knowledge: Previous experience in the banking or financial industry is preferred. * Tools: Familiarity ...
Job Title Required Qualifications Bachelor's degree in Information Technology, Computer Science, Finance, or a related field. Master's degree preferred. Minimum of 8-10 years of experience in IT with ...
Job Title Required Qualifications Bachelor's degree in Information Technology, Computer Science, Finance, or a related field. Master's degree preferred. Minimum of 8-10 years of experience in IT with ...
Bachelor's degree in Computer Science, Finance, Information Systems, or related field * 5+ years of experience in Anaplan development and implementation * Strong understanding of multidimensional ...
Quick apply
Bachelor's degree in Computer Science, Finance, Information Systems, or related field * 5+ years of experience in Anaplan development and implementation * Strong understanding of multidimensional ...
... Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields. Technical Master's or Ph.D. with a finance or business background is preferred.
... Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields. Technical Master's or Ph.D. with a finance or business background is preferred.
... Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields. Technical Master's or Ph.D. with a finance or business background is preferred.
... Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields. Technical Master's or Ph.D. with a finance or business background is preferred.
Computer Science Finance information
How is computer science used in finance?
Computer science in finance involves developing algorithms and software for trading, risk management, and data analysis. Professionals use programming languages like Python and tools such as machine learning models to optimize financial decision-making and automate processes.
What are the key skills and qualifications needed to thrive in Computer Science Finance, and why are they important?
To thrive in Computer Science Finance, you need strong analytical and programming skills, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial modeling tools, database management systems, and programming languages like Python, R, or SQL is highly valued, along with certifications such as CFA or FRM. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with diverse teams and interpreting complex data. These skills are crucial for developing innovative financial solutions, ensuring data integrity, and driving informed decision-making in the fast-paced finance industry.
What is the difference between Computer Science Finance vs Data Analyst?
| Aspect | Computer Science Finance | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science, Finance, or related fields; certifications like CFA or FRM beneficial | Bachelor's in Statistics, Economics, or related fields; certifications like CAP or Microsoft Data Analyst |
| Work Environment | Financial institutions, tech firms, investment banks; often collaborative and fast-paced | Corporate offices, consulting firms, financial services; data-driven and analytical |
| Employer & Industry Usage | Finance, banking, fintech, tech companies | Finance, marketing, healthcare, consulting |
Computer Science Finance professionals combine technical skills with financial knowledge to develop algorithms, models, and software for financial analysis and trading. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Computer Science Finance emphasizes programming and financial expertise, whereas Data Analysts concentrate on data interpretation and reporting.
What is computer science finance?
Computer science finance is an interdisciplinary field that combines principles of computer science with finance. Professionals in this area use technology and programming to analyze financial data, develop trading algorithms, manage risk, and optimize investment strategies. Careers in computer science finance often involve roles such as quantitative analyst, financial software developer, or data scientist for investment firms, banks, or fintech companies. This field requires skills in programming (often Python, R, or C++), data analysis, and a solid understanding of financial markets and instruments.
Is finance and computer science a good combo?
Computer Science Finance combines technical programming skills with financial knowledge, making it valuable in areas like quantitative analysis, algorithmic trading, and financial modeling. Professionals in this field often use tools like Python, R, and SQL, and benefit from certifications such as CFA or FRM to enhance career prospects.
Can you get a finance job with a computer science degree?
A computer science degree can qualify you for finance jobs such as quantitative analyst, financial software developer, or data analyst, especially if you have skills in programming, data analysis, and financial modeling. Many finance roles value technical expertise, coding skills, and knowledge of financial tools like Excel, SQL, or Python. Additional certifications like CFA or FRM can enhance prospects in finance positions requiring specialized financial knowledge.
Is computer science dead due to AI?
Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science expertise.
How does a professional in Computer Science Finance typically collaborate with both technical and financial teams?
Professionals in Computer Science Finance often serve as a bridge between technology and finance departments, translating financial requirements into technical solutions. They might collaborate closely with software engineers to develop financial models or automation tools, and work with analysts or traders to understand market needs and ensure technical solutions align with business goals. Effective communication is key, as they regularly participate in cross-functional meetings, manage project timelines, and provide updates to both technical and non-technical stakeholders. This role requires adaptability and the ability to explain complex concepts in accessible terms.
What Are Finance Jobs for Computer Science Majors?
Finance jobs for computer science majors focus on the analysis of financial data, the development of finance technology (fintech) software and applications to analyze financial markets and automate equities trading, and the creation of algorithms for analysis, fraud detection, and risk management. As a data scientist or quantitative analyst, you perform your duties for an investment firm or bank. If you are a risk management analyst, you work for financial institutions or life insurance companies. A computer science major can also develop software and configure databases for finance businesses or have cybersecurity responsibilities that include protecting data and systems from hackers.
More about Computer Science Finance jobs
What are popular job titles related to Computer Science Finance jobs in California? For Computer Science Finance jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Finance jobs in California look for? The top searched job categories for Computer Science Finance jobs in California are:
What cities in California are hiring for Computer Science Finance jobs? Cities in California with the most Computer Science Finance job openings:
Copy of PhD Computer Science Expert for AI Training
California City, CA • Remote
$150/hr
Contractor
Posted 7 days ago
Job description
Company Description
An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.
The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.
Job Description
This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.
What You'll Do:
- Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content
- Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines
- Evaluate and rank AI-generated responses based on technical correctness and reasoning quality
- Provide expert-level feedback to improve AI model performance and domain understanding
- Support AI training initiatives by applying research, analytical thinking, and technical expertise
This role is a strong fit for professionals with backgrounds in:
- Computer Science
- Software Engineering
- Machine Learning
- Cybersecurity
- Distributed Systems
- Computational Science
- Information Theory
- Quantitative Finance (highly preferred)
- Statistics
- Electrical & Computer Engineering
- Technical Research or Academia
Qualifications
Requirements:
- Native or fluent English communication skills (written and verbal)
- PhD in Computer Science or a closely related technical field
- Experience working as a software engineer, researcher, or in another highly technical or analytical role
- Strong technical reasoning and attention to detail
- Ability to assess complex AI-generated technical outputs with accuracy and consistency
Nice to Haves:
- Strong academic or industry research background
- Experience reviewing technical content, publications, or research outputs
- Familiarity with AI systems, large language models, or AI evaluation workflows
- Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity
Additional Information
- Fully remote freelance opportunity with flexible working hours
- Work is expected to begin immediately and continue through the end of June, with potential extensions
- Compensation: Up to $150 USD per hour based on project participation
- Weekly lump-sum payments issued for completed work tracked within the client platform
- No guaranteed hours or task volume; work availability may vary weekly
- Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
- Selected candidates will receive onboarding instructions and platform access after acceptance
- Candidates should not independently create an Outlier profile prior to onboarding