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 (FinTech) is the term used to describe an effort to improve and automate the delivery and use of financial services. Considered the synergy between finance and technology, FinTech has changed how people utilize every aspect of financial services including banking, investing, analysis, predictions, and forecasting. FinTech is conducted in many ways, including as a direct service, via software, or consultancy offering ways to create a more efficient financial process.
Examples of FinTech in action include online banking, PayPal and Venmo, mobile payments, crowdfunding, cryptocurrency, and multiple additional digital financial transactions. The methods used for FinTech activity include the use of smartphones for mobile banking, algorithm-driven investing, and cryptocurrencies, and simplifying transactions for the general public. In addition, where once traditional financial services were provided manually, FinTech companies have replaced and enhanced what they now offer to customers with groundbreaking technology.
The automation that FinTech provides means that the processes for savings, lending, and business services render the sector ripe for disruption. Predictions for the future of FinTech show that 87% of financial sector executives believed consumer banking will be profoundly affected by financial technology. Talented and savvy tech entities are realizing the opportunities to directly impact financial services by developing new systems, and the field is soaring with demand for more tech pros to handle the changes. These companies realize that they have to stay relevant in their industry with targeted solutions for better results. Primary current needs include those specializing in ways of wrangling market share, margins, information security, privacy, and customer turnover.
PwC recently released impressive statistics regarding FinTech. Some of the results of their survey include 90% of finance companies turning to digital ways of becoming consumer-centric and the same amount expecting social media and email outreach as the dominant way they will connect with customers. Their study shows that the way customers make decisions with their banking, financing, and investments is through sources they trust on social media with the ability to make comparisons and decisions twenty-four hours, seven days per week.
The financial industry is changing so rapidly that some institutions send their employees to FinTech bootcamps since there aren’t enough job candidates with already established FinTech skills. As the consumer market continues to demand more from their finance apps and online financial platforms, the need for experienced FinTech experts continues to skyrocket. For those hungry to get in on the scene and are ready to take on an immersive, comprehensive session, FinTech bootcamps are the right choice.
FinTech Bootcamps prepare graduates for a career in the field immediately upon completion, providing real-world skills versus time-consuming theoretical study. With hands-on training in financial analysis, algorithm trading, and automation techniques, graduates of bootcamps kick-start a new career path or upskill a current role.
Examples of the areas of focus offered in FinTech bootcamps include Python for Data Science, Financial Modeling, Blockchain Specialty Bootcamps, and more. Since FinTech is one of the fastest-changing careers today, keeping up-to-date with emerging issues in the field is critical, and bootcamps are the best way to learn career-relevant skills.
Careers in FinTech are lucrative and offer job security within an ever-evolving field. The FinTech industry operates within a broad market, touching every area of the financial sector. It also reaches individuals as they turn to online banking and other day-to-day tasks, even as basic as inserting a credit card at a checkout stand. Financial technology is now operating at more than a 90% preference, becoming the norm when dealing with all areas of banking, investing, financing, and much more.
The future of FinTech is auspicious. Global investments in FinTech firms reached $5.3 billion in just one year, demonstrating how confident investors are with these financial methods. Forbes has crowned FinTech as “the new normal in finance, ” joining many other highly respected media recognizing the value of the industry.
A career in FinTech is perfect for those who have both basic fluency in programming languages such as Python and a solid grasp of statistics and other math-related subjects. Skills such as experience with security, privacy, and scalability help a candidate gain a foothold in the world of financial analysis, financial ratios, and time-series analysis. Other talents that set candidates higher than their competition include proven success in executive-level business roles, additional education including college-level and higher education, excellent communication, and flexibility.
The best way to break into this in-demand field and gain real-world experience is through a FinTech bootcamp. The majority of those who win jobs in any sector of FinTech are those who have attended the bootcamp that fits their career goals. Graduates of bootcamps have an advantage over competitors since employers have the confidence to know they’ve hired the most prepared candidate for the job. Additionally, graduating from a bootcamp allows entry into the field faster and with lower financial investment than attending a four-year program.
Long Island residents have the fantastic opportunity to learn FinTech in one of the financial capitals of the world in neighboring New York City. New York City is home to a huge number of top-ranked schools that provide FinTech education. Long Island is home to many FinTech operations, too, and startups are strongly supported. Long Island has a strong presence of meetups and professional groups, providing finance professionals with plenty of networking opportunities.
With robust salaries and a frequent need to decompress after exciting work in the industry, Long Island offers quiet beaches on the sparkling Atlantic shoreline. Historic homes dating back to the founding of the nation provide a view into a different time and captivate visitors. Aviation enthusiasts enjoy their time at places such as Roosevelt Field, where Charles Lindbergh took off on his historic nonstop flight from Long Island to Paris in 1927.
Long Island is home to Jones Beach State Park, Fire Island, and Montauk Point State Park. Boardwalks, beachfronts, antique shops, and restaurants with the freshest seafood and delicacies are plentiful in Long Island, and there is a never-ending list of things to do and see. The climate allows for activities year-round, with typically warmer winters and cooler summers than New York City.
Salaries for positions in FinTech allow professionals to live a comfortable life on Long Island. Typical examples include a yearly salary of around $82,000 for a Financial Analyst and about $111,000 a year for Data Scientists.
FinTech bootcamps are in-depth and comprehensive experiences taught by experts at training centers in New York City. There are many choices that provide an overview of hot topics in FinTech, as well as instruction in niche areas of the field offered by numerous schools in New York City. Of particular note are classes held at Noble Desktop’s state-of-the-art facility in Midtown Manhattan. This location offers excellent, globally experienced instructors and access to the latest computers and software. Class sizes at this center are small and offer ample time for students to receive assistance from the instructor, as well as the opportunity to network with peers.
Noble Desktop, the creator of this tool, offers a FinTech Bootcamp taught by expert finance and data science professionals. Students enrolled in this high-powered bootcamp learn how to use Python for financial analysis, machine learning, automation, and algorithmic trading. By the end of this sixty-hour course, graduates are ready to succeed on the job from day one.
Another option is Noble’s Python for Finance Bootcamp. Students learn how to analyze large amounts of financial data with Python, create visualizations, and start using statistics for predictive modeling. Additionally, the bootcamp covers major Python financial libraries to gather and manipulate financial data. Students work with financial APIs to fetch financial, company, and economic data. Attendees also analyze financial statements from the SEC website, including financial ratios derived from income statements and balance sheets.
For an intensive data science class covering automation, machine learning, and other advanced processes, students can consider a Data Science Certificate from Noble Desktop. Students working on this certificate learn essential programming skills for managing databases and performing various levels of data analysis. Participants learn Python programming fundamentals and how to use NumPy, Pandas, and Matplotlib to analyze data. Additionally, students become proficient in reading and writing complex queries and automating tasks. This course is beginner-friendly, and graduates in this program are prepared to seek entry-level data science and Python engineering positions.
There are numerous additional bootcamps for prospective students to consider for FinTech sessions from schools including Grace Hopper Program, Training the Street, 280 Group, PMT, Practical Programming, and BrainStation. There are also live virtual courses that provide added convenience for attendees who can take classes when and where they prefer.
Virtual bootcamps are perfect for students who want to join this fast-growing field. One advantage of taking a live FinTech bootcamp online is the ability to ask questions and have them answered in real-time, as well as share their computer screen with the instructor for help with assignments. These bootcamps are based on real-world datasets and stock trading, so students build relevant experience for future careers. Noble Desktop, Metis, and Flatiron School all offer virtual FinTech bootcamps. Often, those interested in a FinTech bootcamp need basic-to-intermediate Python skills before enrolling. However, each bootcamp has different requirements—find the one that fits your skills and goals best.
The Machine Learning & Automation for Finance Bootcamp, offered live and online by Noble Desktop, is one of the best ways to get into the field of FinTech in a fast-paced, experiential experience. FinTech career areas that graduates enter include risk management, reporting, general financial management, and financial investments. Using historical data with the student’s previous experience in Python’s data science libraries such as NumPy and Pandas, students discover techniques for predicting risk, determining the value of data to the company, and identifying wise stock investments. The bootcamp goes deeply into advanced FinTech concepts and includes career coaching, leaving graduates confident that they’ll find the right position quickly.
The Algorithmic Trading with Python Bootcamp is designed for existing traders, new traders, or anyone interested in learning how to invest using algorithms. Automating investments is vital for stakeholders, and graduates of this bootcamp will know the ins and outs of analyzing and presenting data. Topics include how to connect Python scripts with online trading brokerages, placing and querying stock orders, and learning trading strategies such as exponential moving average, moving average convergence divergence, and backtesting strategies.
FinTech is a field that is moving at lightning speed with new developments every day. FinTech classes provide the latest information about the subject while not as long or intense as a bootcamp. Classes are also a good way to identify strengths in certain specialty areas of FinTech.
The Machine Learning and Automation for Finance Course, offered by Noble Desktop, is one of the best ways to get into the field of FinTech in a fast-paced, experiential experience. FinTech career areas that graduates enter include risk management, reporting, general financial management, and financial investments. Using historical data with the student’s previous experience in Python’s data science libraries such as NumPy and Pandas, students discover techniques for predicting risk, determining the value of data to the company, and identifying wise stock investments. The bootcamp delves into advanced FinTech concepts, with graduates confident that they’ll be in the right position quickly, especially with the included career coaching they receive.
The Algorithmic Trading with Python Course is designed for existing traders, new traders, or anyone interested in learning how to invest using algorithms. Automating investments is vital for stakeholders, and graduates of this course will know the ins and outs of analyzing and presenting data. Topics include how to connect Python scripts with online trading brokerages, placing and querying stock orders, and learning trading strategies such as exponential moving average, moving average convergence divergence, and backtesting strategies, to name just a few.
There is so much to FinTech that it can be hard to know where to start. Some bootcamps provide complete training in all of the most current areas of FinTech, while others focus on niche areas in the field. Regardless of which bootcamp a student graduates from, they will very likely find a job quickly in this booming profession.
Noble Desktop, the creator of this tool, presents some ways to help narrow down the choices. While deciding on bootcamps, ask yourself if you want a broad scope of FinTech or if one particular area stands out from the description. What type and style of bootcamp fit best—in-person or virtual, full-time or part-time? What price range is appropriate? Prospective students may also want to take some short classes to get a feel for specialized areas.
A significant advantage of bootcamps is the one-on-one instruction, mentorship, and career guidance provided by professionals in the field. Since bootcamps are tailored for each class, attendees know that the simulated campaigns they work on can easily translate to real-world tasks.
Future students can easily compare all of the options available and pick the best bootcamp for their goals using Noble Desktop’s Classes Near Me tool.