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Entry Level Quant Developer Jobs in California (NOW HIRING)

Paramount

Data Scientist

Burbank, CA · On-site

We are seeking a Data Scientist for this entry-level role. You will work to support the team in ... Implement and maintain reliable ML/analytics pipelines, partnering with engineering as needed to ...

Powerfull Electric

Be Seen First

Electrical Junior Estimator

Los Angeles, CA · On-site

$85K - $100K/yr

The CO Junior Estimator position is an entry level position in which they are to assist the ... Excellent quantitative and analytical skills. * Be understanding of the electrical industry.

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Entry Level Quant Developer information

What is an entry level quant developer?

Entry level quant developers are professionals who use mathematical models, programming, and data analysis to help financial institutions make trading decisions or manage risk. They typically work with large datasets and implement algorithms in programming languages like Python, C++, or Java. While entry level roles may focus more on coding and supporting senior quants, they provide a strong foundation in both finance and technology. These roles often require strong analytical skills, basic financial knowledge, and proficiency in at least one programming language.

What are the key skills and qualifications needed to thrive as an entry level quant developer?

To thrive as an Entry Level Quant Developer, you need strong quantitative skills, programming proficiency (such as Python, C++, or Java), and a background in mathematics, statistics, or a related field. Familiarity with financial modeling tools, statistical analysis software, and version control systems like Git is often required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with teams and translating complex data into actionable insights. These skills and qualities are essential for developing robust quantitative models and supporting data-driven decision-making in fast-paced financial environments.

What are some typical challenges faced by entry level quant developers when transitioning from academia to a professional finance environment?

Entry level quant developers often find the transition from academic settings to professional finance environments challenging due to the fast-paced nature of the industry and the need for effective collaboration with traders, analysts, and senior developers. In addition to applying their quantitative and programming skills, new hires must quickly adapt to production-level coding standards, version control systems, and the need for rigorous code reviews. Time-sensitive problem-solving and balancing multiple projects are common, making communication and prioritization essential skills. Proactively seeking mentorship and being open to feedback can significantly ease this transition and foster professional growth.

What is the difference between Entry Level Quant Developer vs Quant Analyst?

AspectEntry Level Quant DeveloperQuant Analyst
Required CredentialsBachelor's in Math, CS, or Finance; programming skillsBachelor's or Master's in Finance, Economics, or Math; strong analytical skills
Work EnvironmentFinancial firms, hedge funds, trading desks; coding-focusedFinancial institutions, asset management; analysis and modeling
Employer & Industry UsageCommon in trading firms, hedge funds, investment banksPrevalent in asset management, hedge funds, banks

While both roles involve quantitative skills, Entry Level Quant Developers focus on coding and implementing trading algorithms, whereas Quant Analysts primarily analyze data and develop financial models. The roles often overlap but differ mainly in their core responsibilities and daily tasks.

What are the most commonly searched types of Quant Developer jobs in California?

The most popular types of Quant Developer jobs in California are:

What are popular job titles related to Entry Level Quant Developer jobs in California?

For Entry Level Quant Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Quant Developer jobs in California look for?

The top searched job categories for Entry Level Quant Developer jobs in California are:

What cities in California are hiring for Entry Level Quant Developer jobs?

Cities in California with the most Entry Level Quant Developer job openings:

Entry Level Quant Developer jobs near you
Infographic showing various Entry Level Quant Developer job openings in California as of September 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 100% In-person job distribution.

Data Scientist - Fraud Detection

Mountain View, CA • On-site

DataVisor
Software Development • 1 - 10 employees
Learn more about DataVisorexternal

Full-time

Medical, PTO

Posted 19 days ago

Job description

About DataVisor:
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Position Overview:
We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud.
Key Responsibilities:
  • Develop and deploy machine learning models for fraud detection and risk assessment.
  • Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.
  • Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.).
  • Collaborate with engineering and business teams to integrate ML models into production systems.
  • Continuously monitor model performance and refine algorithms to improve accuracy.
  • Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies.

Requirements
  • Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus.
  • Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus).
  • Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.).
  • Experience with SQL and data manipulation/analysis in large datasets.
  • Strong problem-solving skills and patience for deep-dive data exploration.
  • Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus.
  • Excellent communication skills and ability to work in a collaborative environment.

Nice to have
  • Familiarity with big data tools (Spark, Hadoop, Dask).
  • Knowledge of graph-based fraud detection techniques.
  • Experience with cloud platforms (AWS, GCP, Azure).

Benefits
PTO, Stock Option, Health Benefits

Apply