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Entry Level Rust Developer Jobs in New York (NOW HIRING)

Pwc

AIT AI Developer Senior Associate

New York, NY · On-site

$72K - $212K/yr

... Rust, and SwiftUI for application development - Engaging in business process improvement and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Rust Developer information

What is an entry level Rust developer?

An Entry Level Rust Developer job involves writing, testing, and debugging software using the Rust programming language. Developers in this role typically work on performance-critical applications such as systems programming, backend services, or embedded systems. Responsibilities may include learning best practices, collaborating with senior developers, and contributing to code reviews. Employers often seek candidates with a basic understanding of Rust, software development principles, and version control (e.g., Git). This role is ideal for those looking to gain hands-on experience and grow their expertise in Rust development.

What kinds of projects or tasks does an entry level Rust developer typically work on?

Entry Level Rust Developers usually assist with developing and maintaining backend services, command-line tools, or parts of larger distributed systems using the Rust language. You might be assigned to fix bugs, write APIs, participate in code reviews, or help optimize existing code for performance and reliability. Most teams follow an agile workflow, so you’ll regularly collaborate with more experienced developers, testers, and possibly cross-functional teams. Over time, you'll gain opportunities to tackle more complex features and take on increased responsibility as you expand your skill set and knowledge of Rust ecosystems.

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

To thrive as an Entry Level Rust Developer, you need a strong foundation in Rust programming, understanding of basic software engineering principles, and a bachelor's degree in computer science or related field is often preferred. Familiarity with version control systems like Git, collaborative platforms like GitHub, and popular Rust libraries and frameworks is highly beneficial. Effective communication, problem-solving skills, and a willingness to learn new technologies help entry-level developers stand out. These qualities ensure you can contribute meaningfully to projects, adapt to evolving requirements, and collaborate effectively within engineering teams.

What are the most commonly searched types of Rust Developer jobs in New York?

The most popular types of Rust Developer jobs in New York are:

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For Entry Level Rust Developer jobs in New York, the most frequently searched job titles are:

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Cities in New York with the most Entry Level Rust Developer job openings:

Entry Level Rust Developer jobs near you
Infographic showing various Entry Level Rust Developer job openings in New York as of August 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Corporate Planning & Management-New York-Senior Analyst-Quantitative Engineering

Goldman Sachs & Co.

Manhattan, NY • On-site

Other

Posted 21 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks

Job description


Role Overview
As an Sr. Analyst Quantitative Strategist (Strat) within the CPM Strats team, you will focus on the design, development, and implementation of quantitative models to drive Budget Planning & Management. In this role, you will model and forecast revenues, expenses, and balance sheet dynamics. You will deploy scalable solutions on AWS Cloud and build secondary but core AI/agentic capabilities to streamline financial planning and analysis, with opportunities to leverage Rust to accelerate scientific computing.
This position is at the Analyst level and is highly suited for entry level candidates looking to apply advanced mathematical, statistical, and computational techniques to real-world corporate planning and financial forecasting challenges, and develop expertise developing AI agents for automated analysis.
Job Duties
  • Design, develop, implement, and document advanced quantitative models and scenarios for time-series forecasting of revenues, expenses, and balance sheet items. Incorporate a broad range of economic, financial, and business variables to address practical issues in budget planning and management, and conduct uncertainty quantification.
  • Develop and deploy explainable Machine Learning (ML) models for financial event prediction, revenue forecasting, and expense projection. Derive actionable insights to support corporate strategy, budget planning, regulatory compliance, and internal governance reviews.
  • Collaborate with cross-functional stakeholders across business divisions, Finance, Risk, and other Core corporate departments. Translate complex user needs into precise model specifications, analytical metrics, interactive dashboards, and comprehensive reports tailored for senior leadership and operational teams.
  • Execute the end-to-end model development lifecycle, encompassing data collection, exploratory data analysis, feature engineering, variable selection, model selection, hyperparameter tuning, validation, and scalable deployment on AWS Cloud.
  • Design and engineer Artificial Intelligence (AI) agentic systems to deliver analytical, data science, and reporting capabilities through both interactive and batch reporting interfaces. Manage agent orchestration, context management, knowledge base integration, and overall AI lifecycle management.
  • Conduct rigorous simulation studies, provide theoretical justifications, and perform model performance testing. Create and maintain comprehensive technical documentation to support Model Risk Management (MRM) reviews, facilitate finding remediation, and ensure ongoing model monitoring.
  • Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for budget planning and management within the Firm.
  • Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues.
  • Analyze large datasets (structured and unstructured) to build predictive models of business-relevant financial variables (revenues, expenses, and balance sheet).
  • Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming.
  • Build and challenge revenue and expense models, identifying and quantifying vulnerabilities across financial planning and forecasting.
  • Create and maintain clear and complete technical documentation of the model performance testing approach and process.

Minimum Education & Experience Requirements
  • PhD degree (U.S. or foreign equivalent) in Statistics, Computer Science, Applied Mathematics, Physics or a related quantitative field. No prior professional work experience is required.
  • OR
  • Master's degree (U.S. or foreign equivalent) in Statistics, Computer Science, Applied Mathematics, Physics or a related quantitative field, and one (1) year of experience in the job offered or a related quantitative engineering role.
  • OR
  • Bachelor's degree (U.S. or foreign equivalent) Statistics, Computer Science, Applied Mathematics, Physics or a related quantitative field, and three (3) years of experience in the job offered or a related quantitative engineering role.

PhD graduates with strong academic research backgrounds are highly preferred. For non-PhD candidates, we value contributions to open source projects, publications, and other contributions that provide evidence of exceptional skill.
Special Skills Required to Perform the Job
Prior experience (which can be fully satisfied through graduate-level academic research, coursework, or dissertation work for PhD candidates) must include 0 years with a PhD OR one (1) year with a Master's OR three (3) years with a Bachelor's with the following:
  • Programming Languages: Rust, Python, or C++. (Rust is utilized primarily to accelerate scientific computing and may also be leveraged for agentic workflows).
  • Econometrics & Time-Series Analysis: Modern time-series econometric techniques for forecasting, structural-break analysis, and regime-switching analysis of financial metrics.
  • Simulation and Uncertainty Quantification: Monte Carlo simulation and modern Conformal Prediction methods for uncertainty quantification in financial planning.
  • Machine Learning and Non-Parametric Statistics: Statistical learning methods with emphasis on explainable ML, causal model selection, and hyperparameter tuning.
  • Production Cloud Deployment: Implementation of mathematical and statistical models in scalable, production-grade AWS Cloud environments.
  • Data Management: Management and processing of large-scale structured and unstructured datasets using database query languages (e.g., SQL) and data management tools.
  • AI Agent Development: Design and implementation of autonomous agentic systems and multi-agent workflows using frameworks such as LangGraph, Google ADK, or AWS Bedrock AgentCore, including graph-based orchestration, state and context management, tool integration, and safe execution environments.

Salary Range
The expected base salary for this New York, New York, United States-based position is $110000-$130000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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