Nomo Fintech is hiring a Data Analyst

Who we are

BB2 Digital and Technology Services Ltd (t/a Nomo Fintech) is a cloud-based business-to-business Fintech company which owns the digital platform that powers the digital retail banking services of Bank of London and The Middle East plc (“BLME”), branded Nomo (available on iOS and Android), and provides various other services to BLME.

Nomo Fintech is currently in scale-up mode to support international digital banking across the GCC, and it’s an incredibly exciting time to join the business with great ambition and an effective combination of talent, culture, and world class technology.

Nomo Fintech leverages the support services of an intragroup entity based in Dubai which houses various functions to support Nomo Fintech’s business services.

Role Description

The data analyst will join the team to work in conjunction with the Data scientist to identify patterns of behaviour and ensure methods of data ingestion process, component rules, scenarios, and models are working as expected. In addition to this you will analyse and report on data and metrics relating to operations and mitigations. This includes building reporting dashboards that are used at the highest levels of the business and by external regulators.

This is an excellent opportunity for someone comfortable and capable of working in a standalone capacity, to support in shaping the data strategy within the department, working closely with IT and Ops teams.

Roles and Responsibilities

• As you will expect the support a growing business needs is broad, but we hope that the following gives you an idea of the main focus of your attention:
• Managing master data, including creation, updates, and deletion.
• Managing users and user roles.
• Provide quality assurance of imported data, working with quality assurance analyst if necessary.
• Commissioning and decommissioning of data sets.
• Processing confidential data and information according to guidelines.
• Data management and ownership: You'll be processing varied data sources including recoding/transforming data, merging and cleaning, weighting etc. to enable us to deliver exceptional data clarity to our clients. You will need to ‘own’ the data and know it inside-and-out.
• Cross-function collaboration: As the primary ‘owner’ of the valuable data we collect, you’ll need to collaborate with multiple teams
• Process improvements: Proactively identifying opportunities to improve efficiencies in these tasks and supporting the implementation of these improvements Requirements
• Strong data, reasoning and analytical skills are essential

• Key background: Statistics, Econometrics, Computer Science (Will have a STEM degree discipline)
• Key tools for data science: SQL, Tableau, SAS, SPSS, R, Python, RapidMiner, Knime, Matlab, Wolfram Mathematica.
• Will have at least 1 year of financial services based, data analytics experience. Preferably experience within the fraud and financial crime domain, or card payments
• You will be comfortable with data querying (relational databases and data lakes using SQL), data interchange (CSV, JSON etc), data analysis (such as Excel and BI tools, maybe even Access), data management and processing using at least simple Python scripts and notebooks (Pandas etc)
• Will have experience working with multiple and large unstructured datasets
• The more experience you have with data visualisation the better (but it's not a requirement of the role).
• Highly advanced analytical skills
• Communication and presentation skills
• Advanced mathematics
• Programming and Technical proficiency
• Start-up attitude – You’ll be comfortable in a rapidly changing environment, working with limited resources, and delivering high-quality work at the speed which is necessary for successful business growth. You’ll be a self-starter who doesn’t need much guidance, who can think fast on their feet and are ready to pivot when required

• Annual Discretionary Individual Performance Bonus up to 30%
• Generous Pension Scheme (up to 20% in total)
• 30 days Annual Leave plus Bank Holidays & an option to buy/sell 5 days
• Private Healthcare and wellbeing incentives, deals and discounts with Vitality
• Dental and Mental Health Allowance
• A hybrid working environment - work from home allowance
• Choice of Tech
• Group Income Protection – Up to 75% of salary in event of long-term sickness.
• Personal Development and progression plans including £1,000 per employee per annum
• Personal Gym Membership Budget
• Annual Health Check Up
• Season ticket loan
• Cycle to work scheme
• Employee Assistance Programme – includes mortgage and pension advice
• Regular social/company events (in person and remotely)