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Fidelity New Grad Jobs (NOW HIRING)

Hudson River Trading

Research Engineer

London, CA · On-site

Evaluating sim vs. live differences to improve the fidelity of our simulations. * Building systems ... If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad ...

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Fidelity New Grad information

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$64.5K

$142.5K

$249.5K

How much do fidelity new grad jobs pay per year?

As of Aug 22, 2026, the average yearly pay for fidelity new grad in the United States is $142,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $193,000.00 per year, depending on experience, location, and employer.

What is a Fidelity new grad?

A Fidelity New Grad typically refers to a recent college graduate who has been hired by Fidelity Investments as part of their early career or new graduate programs. These programs are designed to help graduates transition into the workforce, offering training, mentorship, and rotational assignments across various departments such as technology, finance, or client services. Participants gain hands-on experience, build professional networks, and develop essential skills for a successful career in the financial services industry. Fidelity values continuous learning and often provides opportunities for further education and professional development.

What types of projects and responsibilities can a Fidelity new grad expect during their first year?

New graduates at Fidelity typically participate in rotational programs or join teams where they work on real-world projects alongside experienced professionals. Responsibilities often include data analysis, supporting client solutions, participating in product development, or contributing to technology initiatives. New grads are encouraged to take ownership of tasks, collaborate cross-functionally, and present their findings or solutions. This environment helps them build a strong foundation and identify areas of interest for long-term career growth within the company.

What are the key skills and qualifications needed to thrive as a Fidelity new grad?

To thrive as a Fidelity New Grad, you typically need a bachelor's degree in finance, business, computer science, or a related field along with strong analytical and problem-solving abilities. Familiarity with financial software, data analysis tools, and platforms like Excel or Salesforce is often expected, while relevant internships or certifications (such as SIE or Series 7) can be advantageous. Exceptional communication, teamwork, and adaptability set candidates apart in this fast-paced environment. These skills ensure new graduates can quickly learn, contribute effectively, and adapt to the evolving needs of clients and the financial services industry.

What is the difference between Fidelity New Grad vs Fidelity Analyst?

AspectFidelity New GradFidelity Analyst
Required CredentialsBachelor's degree, relevant internshipsBachelor's degree, often with some experience or internship
Work EnvironmentTraining-focused, entry-level, collaborativeProject-based, analytical, client-facing
Employer & Industry UsageEntry-level program for new graduates at FidelityMid-level role for those with some experience at Fidelity

The Fidelity New Grad role is designed for recent graduates starting their finance careers, emphasizing training and development. The Fidelity Analyst position typically requires some prior experience and involves more independent analysis and client interaction. Both roles are within Fidelity's finance and investment services, but they differ in experience level and responsibilities.

Does Fidelity New Grad hire new grads?

Yes, Fidelity New Grad programs typically hire recent graduates for entry-level roles. These programs often target candidates with a bachelor's degree and may include training, mentorship, and development opportunities tailored for new professionals.

What are the entry-level jobs at Fidelity New Grad?

Entry-level jobs for Fidelity New Grad candidates typically include roles such as Financial Analyst, Client Service Associate, Operations Associate, and Technology Associate. These positions often require strong communication, analytical skills, and a bachelor's degree, with opportunities for training and development in a professional environment.
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Cities with the most Fidelity New Grad job openings:

What states have the most Fidelity New Grad jobs?

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What job categories do people searching Fidelity New Grad jobs look for?

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Fidelity New Grad jobs near you
Infographic showing various Fidelity New Grad job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $142,498 per year, or $68.5 per hour.

Senior Machine Learning Engineer, Simulation

PlusAI

Santa Clara, CA • On-site

$130K - $200K/yr

Full-time

Re-posted 22 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

We are seeking a Senior Machine Learning Engineer with expertise in deep learning and data analysis. In this role, you will apply data-driven techniques to develop high-fidelity, scalable vehicle simulation models tailored to various vehicle platforms. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.
Responsibilities:
  • Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.
  • Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.
  • Integrate the data-driven models into simulation pipelines with seamless compatibility.
  • Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.
  • Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests.
  • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
  • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
Required Skills:
  • MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.
  • Extensive experience applying deep learning techniques to time series forecasting and data analysis.
  • Proficient in Python with experience working in large codebases.
  • Excellent communication skills and the ability to collaborate effectively in a team setting.
  • Familiarity with state-of-the-art deep learning models and their applications.
  • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
Preferred Skills
  • Proficient in C++
  • Background in autonomous vehicle prediction, planning, and control
  • Strong understanding of conventional vehicle dynamics modeling
  • Experience with autonomous vehicle or robotics simulation and related concepts
 
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.