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Fast Money Jobs (NOW HIRING)

Rocket Money

Senior Producer

New York, NY · On-site

Rocket Money offers members a unique understanding of their finances and a suite of valuable ... Iterate fast based on performance data - you believe data informs creativity, not limits it, and ...

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How much do fast money jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for fast money in the United States is $24.26, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $29.81 per hour, depending on experience, location, and employer.

What are Fast Money jobs?

Fast Money jobs refer to positions or gigs that provide quick earnings, often with little to no waiting period for payment. These jobs can include freelance work, gig economy tasks (like food delivery or ride-sharing), day labor, or online microtasks. They are popular among individuals seeking immediate cash flow or flexible work options. However, they may not always offer long-term stability or benefits, so it's important to evaluate each opportunity carefully.

What is the difference between Fast Money vs Stock Trader?

AspectFast MoneyStock Trader
Required CredentialsHigh school diploma or equivalent; some roles may require licensesHigh school diploma; licenses like Series 7 often required
Work EnvironmentFast-paced, short-term trading floors or online platformsOffice settings, trading firms, or online trading platforms
Industry UsageCommon in day trading and quick-profit schemesWidely used in investment firms, hedge funds, and personal trading

Fast Money and Stock Trader roles both involve trading securities, but Fast Money typically refers to quick, short-term profit strategies often associated with day trading, while Stock Traders may engage in longer-term investments. Both require similar credentials and operate in fast-paced environments, but their focus and trading styles differ.

What are some common challenges faced by professionals in fast-paced financial trading roles?

Professionals in fast-paced financial trading roles often encounter challenges such as making rapid decisions under pressure, managing high volumes of transactions, and staying updated on constantly shifting market conditions. The need for quick analysis and execution can be stressful, requiring strong attention to detail and the ability to remain calm during volatile market swings. Collaboration with analysts, risk managers, and other traders is essential to ensure informed decision-making and mitigate potential losses.

What are the key skills and qualifications needed to thrive as a Financial Analyst, and why are they important?

To thrive as a Financial Analyst, you need strong analytical skills, proficiency in finance and accounting principles, and a relevant degree such as finance, economics, or accounting. Familiarity with financial modeling software, spreadsheets like Microsoft Excel, and data analysis systems is typically required, along with certifications like CFA or CPA being advantageous. Excellent communication, attention to detail, and problem-solving skills help professionals interpret data and explain insights to stakeholders. These abilities are crucial for making informed recommendations and supporting sound financial decision-making in organizations.
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What cities are hiring for Fast Money jobs? Cities with the most Fast Money job openings:
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What states have the most Fast Money jobs? States with the most job openings for Fast Money jobs include:
What job categories do people searching Fast Money jobs look for? The top searched job categories for Fast Money jobs are:
Fast Money jobs near you
Infographic showing various Fast Money job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 35% Full Time, 57% Part Time, 1% Temporary, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $50,455 per year, or $24.3 per hour.
Staff ML Engineer, Product

Staff ML Engineer, Product

Rocket Money

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) local to them 1-2x per week.
ABOUT ROCKET MONEY
Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey.
ABOUT THE TEAM
Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team.
ABOUT THE ROLE
As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will:
  • Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues.
  • Design, implement, and maintain robust evaluation frameworks. You ensure that ML/AI systems can be constantly improved and create frameworks so that others can do the same.
  • Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product.
  • Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts.
  • Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you.

Potential Projects:
  • Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI/ML product features.
  • Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification.
  • Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement.
  • Architect user facing predictive features that depend on fast moving and large scale user transaction data.

ABOUT YOU
  • 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed.
  • Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation.
  • Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications.
  • Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus.
  • You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML/AI powered product experiences.
  • You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments.
  • You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact.
  • You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches.

WE OFFER
  • Health, Dental & Vision Plans
  • Competitive Pay
  • 401k Matching
  • Unlimited PTO
  • Lunch daily (in-office only)
  • Snacks & Coffee (in-office only)
  • Commuter benefits (in-office only)

Additional information: Salary range of $210,000 - $260,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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About Rocket Money

Sourced by ZipRecruiter

Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey.

Industry

Finance and insurance

Company size

51 - 200 Employees

Headquarters location

Silver Spring, MD, US

Year founded

2015

Social media

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