Get the skills you need for a career in finance technology with the FinTech Bootcamp. Learn Python programming, data science, financial analysis, data visualization, and machine learning to become a Financial Analyst, Data Scientist, or Data Analyst.
Master Excel, review corporate finance, and build a valuation model on a public company. Gain basic and intermediate Excel skills and learn how to read financial statements, build valuations, and predict market trends.
Join our financial modeling class to learn essential finance and accounting concepts, build a discounted cash flow (DCF) model in Excel, acquire advanced Excel skills, explore corporate finance and valuation, and create a financial model on a real company. This hands-on course will teach you practical financial skills.
Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Financial technology, also referred to as FinTech, is the integration of technological innovation and finance. The field itself is far-reaching as it entails any website, app, or other software that facilitates financial services. This includes (but is not limited to) wealth management, online banking, stock trading, payment processing, lending, and credit scoring.
Anyone looking to prepare for a career path related to financial technology would benefit from a FinTech bootcamp. Bootcamps are longer training programs that are highly skills-focused and jobs-focused; most are designed to impart the necessary knowledge to start in a relevant position as soon as the course is completed. Many people regard bootcamps as a viable alternative to a more formal college education because they provide a similar level of skills in a shorter amount of time.
When looking into FinTech bootcamps, you may come across courses that focus on Python, SQL, or both. While these courses are not explicitly labeled as FinTech, they are still helpful in the field because they are used in heavily data-focused areas, and FinTech falls into that category.
Seattle’s financial and banking sector is a major user of FinTech, driven by the region’s strong technology culture and demand for digital-first financial services. Companies such as Bank of America, Wells Fargo, and BECU (Boeing Employees Credit Union) use FinTech solutions to enhance mobile banking, streamline payment processing, and improve fraud detection. These organizations rely on advanced analytics, AI-driven financial tools, and secure digital platforms to provide customers with intuitive interfaces and personalized financial recommendations. As Seattle continues to grow as a tech-forward city, traditional financial institutions are increasingly adopting FinTech to stay competitive and meet evolving customer expectations.
Seattle’s tech and e-commerce industries also play a significant role in shaping the city’s FinTech landscape. Global companies like Amazon and Microsoft develop and integrate financial technologies into their products and services, including cloud-based financial platforms, digital payments, and cybersecurity tools. Amazon, for instance, uses FinTech to power its Amazon Pay system, subscription billing, and fraud prevention technology, while Microsoft provides cloud solutions for financial institutions through Azure. FinTech tools support everything from secure online transactions to large-scale financial data processing, making them essential for Seattle’s tech giants and the startups surrounding them.
Additionally, Seattle’s thriving startup and innovation community fuels ongoing FinTech development across the region. Companies such as Remitly, Tango Card, and Possible Finance specialize in digital payments, rewards systems, and consumer lending solutions, offering modern alternatives to traditional financial services. These FinTech startups leverage mobile platforms, machine learning, and digital identity verification to provide faster, more accessible financial tools to both individuals and businesses.
FinTech is a lucrative career path in Seattle, with many opportunities. Potential positions include Financial Analyst, Data Scientist, Software Engineer, and Python Developer, most of which pay $110,000 to $140,000. This annual salary range is well above the local median, which is already high nationally at $100,000. Beyond these positions, you could eventually leverage your knowledge and experience to work up to executive-level finance jobs, like VP of Finance or even CFO.
Once you have a goal in mind, you might be wondering where to find FinTech jobs in Seattle. One option would be to start a FinTech consultancy; freelance work is attractive as it allows you to set parameters for yourself, like hours and salary. If you’re not quite ready to branch out on your own, there is a fairly large presence of FinTech companies and startups in the area. You’ll find a wide variety of finance verticals like ecommerce, real estate (home loans), payments, digital currency, and online banking, all of which can benefit from the skills you’ll have after completing a FinTech bootcamp.
Noble Desktop offers a few different live online FinTech bootcamps that might be a good fit if you are looking to join the field. The longest and most immersive option is the 102-hour FinTech Bootcamp, which teaches Python and SQL programming in the context of finance, machine learning, data science, and automation. In addition to the rigorous education this program offers, you will also receive several sessions with a mentor who will provide support on your classwork, eventual job search, and anything else you wish to discuss in your one-on-one meetings.
Other virtual training programs available through Noble Desktop include the Python for Data Science Bootcamp, a 30-hour course that teaches Python in the context of real-world data analysis. There is also the Python for Finance Bootcamp, which is an advanced course that focuses on analyzing financial data and requires familiarity with Python before signing up.
Although there are multiple bootcamps to choose from in the realm of financial technology, there are a few key factors you can use to tell them apart. As you search, make sure you are thinking about your budget, scheduling availability, and learning style. These considerations will help you to make the best possible choice for your unique set of needs.
When it comes to budget, you’ll find that some bootcamps are more expensive than others. Don’t let the price deter you; before dismissing a course for being too expensive, check if it offers financing options to help spread out payments over a longer period of time. Once you are in one of Seattle’s high-paying FinTech jobs, the course will pay for itself sooner than you think.
If you’re looking to offer in-person or online training to your office or team, Noble Desktop can help. It offers a variety of corporate training programs, including in FinTech. You can order vouchers in bulk at a discount, choose which courses are available to employees, and even let your employees choose their own schedule. Plus, you can choose to have your training hosted at a location of your choosing, live online, or at Noble Desktop’s Manhattan office.
With a top-notch customizable curriculum and instructors who are experts in their industries, Noble Desktop’s corporate training is designed to cater to your business or organization’s needs. For more information or to schedule a free consultation, you can reach out to Noble Desktop at corporate@nobledesktop.com.
The professional community in Seattle is thriving, with many businesses and startups appearing all the time in downtown Seattle, South Lake Union, and the Eastside region of the city. In particular, many major companies in fields related to software, cloud computing, ecommerce, and biotech appear in the region, giving ample reason to learn relevant skills in subjects related to design, tech, business, and data.
FinTech skills are increasingly relevant across Seattle’s technology, finance, and startup landscapes. At Noble Desktop, you can explore a range of courses and training options delivered by experienced professionals in their field. These instructors understand the specific job, the field, the industry, and the local economy, and will be able to impart their knowledge to you in an interactive, seamless way. Their combined experience spans decades, so you’ll know you’re working with someone who can genuinely provide the ins and outs of the field and career path of your choice.
Dr. Deanne Larson is a leading figure in data analytics, with over two decades of experience across Fortune 500 companies. As the founder of Larson & Associates LLC, she has helped organizations develop AI strategies and design large-scale data systems that power business transformation. Her portfolio includes overseeing data platforms serving over 225 million consumers and developing advanced governance frameworks for cloud and blockchain technologies. Additionally, Dr. Larson is an experienced educator who has served as an Adjunct Faculty Member at City University of Seattle, mentoring doctoral students and designing graduate-level programs in analytics. Holding multiple doctoral degrees in Computer Science (AI), International Management, and Management, along with a master’s in Business Analytics from NYU, she brings practical expertise to her teaching in AI, Python, machine learning, data analytics, and project management.