What are Data roles in Fintech?
Data roles are for analysing, processing and modelling these large sets of structured and unstructured data, as well as extracting relevant information to the organisation. Given the fact that Fintech is such a data-driven industry, the various roles of data are crucial to the running and success of these companies.
The pay scale for Data roles range from $82K to $171K per annum. Qualifications for these roles include undergraduate degrees in computer science, engineering, mathematics or statistics for the junior roles while the more senior roles rely more on the experience in the field of data apart from the certifications. To learn more on the how to thrive in Data science in Fintech, read more Fintech Job Report.
Top skills to to work in Data roles in 2022
Data roles in Fintech require one to be equipped in:
- Hard skills such as Database operations, Data visualisation tools (Tableau, Power BI), Programming languages (R, Python, SQL), Cloud platforms (AWS, GCP) and Statistics.
- Soft skills such as communication, cross functional collaboration, presentation skills.
- Mindset such as problem solving, proactivity, detail oriented and analytical and working in a fast paced environment.
- Industry Knowledge such as software engineering, data science and Fintech acumen.
Is work experience needed to to work in Data roles?
Experience in similar roles are quite important in Fintech or tech companies. In data roles are keen on mentorship abilities as well. However, these alone are not enough as certifications in the specific roles mostly sought after in job descriptions.
How to become an ideal candidate in Fintech Data roles?
Certifications: Undergraduate degree in Computer science, software engineering, mathematics or statistics is required. Additional certifications depend on the company hiring or seniority level.
Experience: Experience in similar roles across industry are quite sought after especially in data analysis , engineering or business analytics which may require a candidate being aware of the company’s operations or the industry knowledge.
Skills: While hard skills and industry knowledge is important in getting interviews and jobs. Soft skills and mindsets go a long way in building your Fintech career.
Top Data roles in Fintech
This is typically an entry level position and generally requires some experience with data analytics software and databases. Some companies prefer 2+ years of experience for these roles especially if the analyst is in a risk and compliance team.
Previous work experience is key in this position and may involve previous roles such as data analysis, infrastructure engineering, data warehousing etc. and key requirements are experience in data visualisation technologies, compliance tools, programming languages and data warehouse infrastructure.
Data Quality analyst.
This is normally not an entry level role but the emphasis is more on practical and professional experience from financial service firms. Proficiency in data governance, databases, data visualisation and programming languages are the basic requirements for these roles.
Big Data Engineer
These roles may be entry level and require practical knowledge of software engineering, shell scripting experience, data movement techniques with a bachelor’s degree in Engineering or Computer Science.
The most notable requirement for these roles are programming languages, data bases and data visualisation. A degree in Computer Science, Engineering or Statistics may be required by most companies.
Prior experience in data analysis, data science are highly sought after in these roles. Additionally, proficiency in business intelligence tools, data analysis, data visualisation and programming languages are important qualifications for these roles.
Data automation Developer
Prior experience in programming languages, Databases or automation tools are highly sought after in these roles. Additionally, Computer Science, Engineering or other quantitative degrees may be sought after.
Business Intelligence Analyst
These may be entry level roles. Proficiency in data visualisation, dataset manipulation and business operations is soft after. Additionally, Computer Science, Engineering or other quantitative degrees may be sought after.
Data Infrastructure analyst
Prior experience in building large – scale backend systems, programming languages, data engineering, data analysis or infrastructure engineering are highly sought after in these roles.
These roles offer opportunities from entry level to senior positions. Understanding a company’s specific needs and the skills required in your role goes a long way in switching industries or Fintech sectors for Data Science roles. Read more in CFTE’s Fintech Job Report.