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Ai Fintech Jobs (NOW HIRING)

$117K - $154K/yr

About the Team Hopper's Fintech Foundation team sits at the centre of the company's mission: reshaping how more than 100 million monthly active users experience travel. It owns the pricing engine ...

The Senior Software Engineer on the Fintech Foundation team will design and build machine learning systems that power Hopper's pricing engine, directly impacting revenue and customer experience.

The Senior Software Engineer on the Fintech Foundation team will design and build machine learning systems that power Hopper's pricing engine, directly impacting revenue and customer experience.

Hopper is a leading travel platform that aims to reshape how users experience travel through its innovative fintech solutions. The role involves designing, building, and evolving machine learning ...

Hopper is a leading travel platform that aims to reshape how users experience travel through its innovative fintech solutions. The role involves designing, building, and evolving machine learning ...

Prior exposure to AI, FinTech, Credit/Risk domains is desirable. Benefits * Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k, IRA) * Life Insurance * Flexible Paid Time Off * 9 ...

Senior Data and Platform Engineer

New York, NY · On-site

$116K - $157K/yr

We're a product-led, fast-moving team at the intersection of AI, fintech, and modern infrastructure. The Role We're looking for a Senior Data & Platform Engineer to build the data and core platform ...

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Ai Fintech information

See salary details

$100K

$182.2K

$262.5K

How much do ai fintech jobs pay per year?

As of Jun 29, 2026, the average yearly pay for ai fintech in the United States is $182,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $157,000.00 and $196,500.00 per year, depending on experience, location, and employer.

What are the opportunities for AI in fintech?

AI fintech professionals can work on developing algorithms for fraud detection, credit scoring, and personalized financial services. They often utilize machine learning, data analysis, and programming skills to improve efficiency, security, and customer experience within financial institutions.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. Such roles are usually found in large tech companies or financial firms and may involve working with complex algorithms, data analysis, and AI development tools.

Will AI take fintech jobs?

AI fintech roles involve developing and implementing artificial intelligence solutions for financial services, such as fraud detection and algorithmic trading. While AI automates certain tasks, it also creates new job opportunities requiring skills in data analysis, machine learning, and programming. Professionals in fintech should focus on acquiring technical expertise and staying updated on AI advancements to remain competitive.

What is the difference between Ai Fintech vs Data Analyst in Fintech?

AspectAi FintechData Analyst in Fintech
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven, innovative fintech companies, often collaborative teamsFinancial institutions, fintech firms, working with large datasets and reporting tools
Employer & Industry UsageFintech startups, tech companies focusing on AI solutions in financeBanks, investment firms, fintech companies analyzing financial data

Ai Fintech roles focus on developing AI-driven financial technology solutions, requiring expertise in AI and machine learning. Data Analysts in Fintech interpret financial data to inform business decisions, emphasizing statistical analysis and data visualization. While both roles work within the fintech industry, Ai Fintech professionals develop innovative AI tools, whereas Data Analysts focus on analyzing and reporting financial data.

What is the salary of AI in fintech?

The salary for AI roles in fintech varies based on experience, location, and skill level, but typically ranges from $80,000 to $150,000 annually. Senior positions or those requiring specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $200,000 with bonuses and benefits.
What cities are hiring for Ai Fintech jobs? Cities with the most Ai Fintech job openings:
Infographic showing various Ai Fintech job openings in the United States as of June 2026, with employment types broken down into 11% Full Time, 77% Part Time, and 12% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $182,241 per year, or $87.6 per hour.

Senior Software Engineer - AI Fintech foundation

Hopper

On-site, Remote

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

About the Team
Hopper's Fintech Foundation team sits at the centre of the company's mission: reshaping how more than 100 million monthly active users experience travel. It owns the pricing engine that balances customer demand against financial risk across dozens of partners - including Capital One, Air Canada, and Spirit Airlines. As an ML engineer on this team, you will directly shape how Hopper prices ancillary products in real time and at scale.
About the Role
As a Software Engineer on the Fintech Foundation team, you will design, build, and evolve the machine learning systems that power Hopper's pricing engine. Your work will have direct impact on revenue, financial risk management, and the customer experience across the full partner portfolio.
You will work closely with the Data Science, Engineering, and Product teams to deliver pricing solutions that are reliable, scalable, and oriented toward commercial outcomes.
What would your day-to-day look like
  • Design and implement automated, reusable training pipelines to ensure consistent, scalable model delivery across the partner portfolio
  • Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models
  • Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment
  • Monitor production systems for latency, drift, and training-serving skew, optimising continuously to maintain model integrity
  • Run champion-challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditions
  • Partner with data scientists, engineers, and product stakeholders to translate business needs into well-scoped technical solutions

An ideal candidate has
  • 5+ years of experience in a similar role, ideally within production ML systems or large-scale pricing platforms
  • Proficiency in Python, Scala, and SQL, applied to production ML systems rather than exploratory work
  • Experience in data modelling, software architecture, and distributed data processing frameworks at scale
  • Deep understanding of ML algorithms and when to apply them in the context of pricing, demand forecasting, or similar commercial domains
  • Strong analytical instincts and attention to detail, with a track record of catching issues before they reach production
  • A product mindset that keeps the customer outcome in view, even when the work is deeply technical
  • Clear, collaborative communication skills that hold up across data science, engineering, and business stakeholder audiences

Perks and Benefits of working with us
  • Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages.
  • Unlimited PTO.
  • Carrot Cash travel stipend.
  • Access to co-working space on demand through FlexDesk AND Work-from-home stipend.
  • Please ask us about our very generous parental leave, much above industry standards!.
  • Entrepreneurial culture where pushing limits and taking risks is everyday business.
  • Open communication with management and company leadership.
  • Small, dynamic teams = massive impact.
  • 100% employer paid Medical, Dental and Vision coverage for employees.
  • Access to Disability & Life insurance.
  • Health Reimbursement Account (HRA).
  • DCA/ FSA and access to 401k plan.
More about Hopper
At Hopper, we are on a mission to become the leading travel platform globally - powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions - helping people travel better and save more on their trips.
The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. he Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers - with 70% of its users being Gen Z and millennials.
While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we've grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world's largest brands.
Through HTS, our B2B division, the company supercharges its partners' direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more.
Here are just a few stats that demonstrate the company's recent growth:
  • Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS' channels every year.
  • Our fintech products - including Cancel for Any Reason and Flight Disruption Assistance - have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions.
  • Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel.
  • Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business.
  • Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper's fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more.
  • Hopper has been named the #1 most innovative company in travel by Fast Company Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers.
  • Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials.

Come take off with us!
#LI-REMOTE