Currently, India is the hotbed for FinTech activities. It has everything needed; the vast market of unserved customers, increased mobile penetration, and active start-up ecosystem to emerge as a global FinTech hub. For India, ample of opportunities are waiting to be sized in the Fintech space, if technology talent pool is supplied correctly.
Fintech industry is the very interesting place to build the career in areas like payments, retail baking, equity crowdfunding, peer to peer debt financing, personal finance, asset management, institutional investments, remittances, and financial research. The high rate of employment generation in this sector is taking place due to various innovations and constant flow of investments taking place.
But there is still a gap in the job market concerning employable, job-ready skill sets. The FinTech industry in today’s time is in high need of technology talent pool and even ready to hire premium and experienced candidates with relevant skillsets on premium packages.
Sources say that there are fewer than 10,000 people in the world currently qualified to do state-of-the-art AI research and engineering. Many of them are gainfully employed and hard to poach and possess requisite skills to be hired.
The high demand for specialized AI talent coupled with the painfully low supply means that companies need to adopt fundamentally different recruiting strategies.
From enterprise implementation to crowdsourcing, cryptocurrencies, and ICOs, blockchain is going to dominate the industry. Blockchain business analysts are the one who understands the business problem, identify the right solution and bridge the communication gap between business and technology.
Blockchain drastically reduces the transaction & operational costs for banks. From the consumer’s perspective using blockchain for sending international payments can significantly reduce the standard bank processing fees imposed by the correspondent banks.
There is a high demand for skilled blockchain architects and developers. There are not many legal experts who understand legal and regulatory implications of blockchain and initial coin offerings.
Data is the new fuel for today’s business economy, as the unprecedented volume of information is generated and consumed now. Data scientists are the one who is responsible for managing complex data and providing system related advice for their organizations by designing new ways to incorporate the vast amount of data.
There are three primary objectives of financial companies and banks, which are achieved with the help of fintech solutions leveraging big data tools and solutions. These are Credit Scoring; Customer Acquisition & Marketing, Customer Retention, & Loyalty Programs.
Credit scoring is concerned with carefully analyzing the business procedures of a financial organization and issuing proper credit scoring to it. Customer acquisition is concerned with grabbing the bigger share of customer base that is either already existing in the market space or may be converted from outside it as well. Similarly, marketing, customer retention, & loyalty programs entail the techniques and strategies that are formulated with an aim to retain old customers by launching loyalty programs and devising innovating marketing campaigns as well.
Data scientists who can distill actionable information and patterns are high in demand. Advanced analytical skills and experience are exceptionally required here, but unfortunately, there is a shortage of sharp and polished candidates with skills associates like Data Mining / Data Warehouse, Machine Learning, Java, Apache Hadoop, and Python.
Artificial Intelligence and Machine Learning are one of the most attention-seeking areas in FinTech. ML engineers build machine learning solutions to solve business problems by deploying models, managing infrastructure, and running operations. Use of AI/ ML automate tasks, generate useful insights and predict financial outcomes with much higher accuracy than ever.
Data-driven management inspires insurance leaders and banking agents to ask the right questions to machines, rather than to human experts. Customers facing systems such as text chats, voice systems or Chatbots can deliver human-like customer service or expert advice experience.
AI tools monitor user’s behavioural patterns to identify rarity and warning signs of fraud attempts and incidences. Claims management can be build up using Machine Learning (ML) techniques in different stages of the claim handling mechanism.
Insurance management with AI systems will automate the underwriting process and utilize more crude information to make better decisions for the customers. Automated financial assistants and planners assist users in making financial decisions like monitoring events, stock and bond price trends etc. This system is usually called “Robo-Advisors”.
There is a massive shortage of experienced AI/ML specialists as skills required are different than those used in traditional software development. Machine learning is highly exploratory and experimental with less clear timelines. Algorithms require ongoing support, training, and feedback to perform optimally, excellent mathematical aptitude and need someone to refine the model continuously. These are the essential qualities expected from AI talent, which is not easy to find.
IoT brings the promise of the connected ecosystem and smart home to the consumer market. IoT currently has a significant impact on trade finance and supply chain segment.
Banks and financial organizations gain real-time data on their own and their clients’ assets, which lead to effective risk management, using IoT solutions. Smart sensors help companies reduce building management system deployment and operating expenses.
By analyzing biometrics and sensor data, retail banks can also improve the credit underwriting process and target customers with no credit history. By using IoT solutions, automation of trading and investment activities is possible and offers payment transaction security.
The IoT is in the midst of the explosion, but there is the shortage of talent (especially in the areas of data science, data security, and technical support) with the right skill set to manage and execute IoT projects. Chief digital officer and chief digital information officer (CDO/CDIO’s) are now most familiar designations in most of the companies besides CIO and CTO. The primary objective the personnel is to drive the overall digital business strategy through innovation roadmap and FinTech alliances. Even the traditional roles such as project managers, product manager, compliance officer and business development officer are getting more connected to FinTech.
Skillventory is specialized in analyzing the Indian FinTech market. We act as a bridge between the organizations and prospective candidates. We provide FinTech talent with rewarding opportunities and companies with inspiring FinTech individuals.
Being into recruitment industry from last many years, we are watching the growth of FinTech startup’s and successfully placing the FinTech talent across India. We have the database of qualified FinTech talent who fits best in the FinTech industry requirements. We have the in-depth understanding of FinTech industry, and this makes us the best FinTech recruitment firm in India.
If you want to hire (FinTech talent) or want to get employed (by FinTech companies) from one of the best FinTech Recruitment Agencies in India, drop us an email at email@example.com.