Data Engineer - Risk
Location: GB, , London
Department: Risk
Employment type: Full-time
Required experience: Associate
Required education: Bachelor's Degree
Industry: Financial Services
Function: Engineering
Company profile: MarketInvoice is one of the most high-profile London based fin-tech companies. The Company is Europe’s leading P2P invoice finance platform that allows SMEs to quickly and flexibly sell their invoices, releasing critical working capital in the process.Our mission at MarketInvoice is to modernise the way in which SMEs finance their working capital and fund their growth. We are seeking to bring much-needed innovation to the banking industry in much the same way that online retailers disrupted the high street.You will be joining a diverse, multi-talented, fast-growing team that is passionate about using technology to help businesses access funding and change the world of business finance.
Description: COMPANYMarketInvoice is one of the most high-profile London based fin-tech companies. The Company is Europe’s leading P2P invoice finance platform that allows SMEs to quickly and flexibly sell their invoices, releasing critical working capital in the process.Our mission at MarketInvoice is to modernise the way in which SMEs finance their working capital and fund their growth. We are seeking to bring much-needed innovation to the banking industry in much the same way that online retailers disrupted the high street.Based in central London, you will be joining a diverse, multi-talented, fast-growing team that is passionate about using technology to help businesses access funding and change the world of business finance.At MarketInvoice you will:Have a meaningful impact on the company's future and participate in rewards accordinglyWork in a fun, dynamic environment that has innovation at its coreBe part of a motivated team and work with people who get stuff donePlay your part in changing an archaic industry for the better THE ROLEWe’re looking for a curious and meticulous data engineer with a keen interest in finance, risk and data management and a good background in computer programming.This is a key role as the candidate will be an integral part of structuring the company's Risk policies. The strong growth of our company requires unique and innovative risk models which are based on internal and external data. The candidate would work closely with the Risk Officers and the Quantitative Analytics Lead to structure these policies and determining the company's risk strategy.DUTIES & RESPONSIBILITIESAssistance in building tools to collect, process, manage, analyse and present data relevant to the risk department.Responding to new data-related requests and delivering results under short deadlines and high pressure.Research additional data sources that can benefit the risk analysis within the business, perform simple integrations and management of these data sources with the company’s own data systems and CRM to deliver relevant information to the risk team.
Requirements: ABOUT YOUYou will have at least two years experience in an analytics or a quantitative role within a financial institution or a data-driven technology company. Youwill also be willing to work with and handle multiple technologies that form the infrastructure of the risk team. You will be dedicated to being meticulous about the quality of data that forms the basis of any results that you produce.You will be independent and enterprising and will be able to work on your own with little guidance. Furthermore, you will have a thirst for knowledge and drive to further develop your skills.Most importantly, you will appreciate the challenges that come with managing data and will love developing an understanding of the business and its customers through the data that is available to you within the company and the wider world. You should enjoy being challenged and solve data-based problems on a daily basis.SKILLS & QUALIFICATIONSBachelor’s or Master’s degree in a quantitative discipline.Experience in a financial institution or a data-driven technology company of at least two years.Able to find, extract and organize large datasets, as well as present data in the required formatTechnical skills: SQL, R/MATLAB/Octave (or other commonly employed statistical and computing languages), Excel, Web programming (HTML, JavaScript, APIs), Python.Team player while being self-sufficient. Able to work closely across departments and with senior management. Excellent communication and good presentation skills.Able to assist in documenting requirements and tools as well as resolving conflicts or ambiguities within the data sources.Basic understanding of financial products, credit and risk. Knowledge about the SME finance sector is an advantage
Benefits: Competitive basic salaryPrivate healthcareHalf price gym membershipThe opportunity to progress your career at one of London's hottest FinTech startups.
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