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We’re a London-based fintech startup who have just raised a $3.5mn seed round. Our seed round was led by Lakestar, who previously invested in Revolut, Spotify, and Facebook. In 2020 we were named Financial Technology Innovation of the Year and Tech Nation Rising Star. Our mission is to help you retire with a larger pension.

Most adults in the UK hold their pension in a pension fund. Pension funds give the money in your pension pot to asset managers so that asset managers can invest the money and, hopefully, increase the value of your pension over time. In return for managing the fund, asset managers charge fees.

Most pension funds have poor understanding of the fees they are paying, often being overcharged. As a result, by the time you retire as much as 40% of your pension has been paid to asset managers in the form of fees.

ClearGlass is a digital platform which allows pension funds to discover, analyse, and compare the fees that asset managers are charging them. Pension funds can then use this data to negotiate better deals, reduce costs, and allow us all to retire with larger pensions.

As of June 2021, ClearGlass has helped more than 800 pension funds & asset owners, with a combined value of over 700 billion pounds, to see their fees. We also work with pension funds in Europe and southern Africa.

We’ve raised our seed round with some of Europe’s leading VCs. We have the support of UK government bodies, and some of the biggest players in the pension industry.

We are a leading FinTech company experiencing rapid growth and seeking a highly motivated Quality Control Analyst to join our dynamic Data Governance team. In this role, you will collaborate closely with our external partners and internal teams to ensure adherence to acceptable data quality standards. Your primary responsibility will be implementing robust data monitoring and reporting processes while supporting partner reconciliations and remediation efforts as needed.

Key Responsibilities:

• Conduct thorough quality reviews of the data submitted to our platform to ensure compliance with our minimum data requirements.
• Identify and flag any data discrepancies, anomalies, or errors, promptly communicating them to the relevant stakeholders
• Prepare comprehensive documentation outlining identified data errors, including their nature, root causes, and suggested resolutions.
• Generate regular reports summarising data quality issues and their impact on business operations, providing actionable insights for improvement.
• Actively contribute to the enhancement of existing processes and systems used for conducting data quality checks.
• Collaborate with cross-functional teams to streamline workflows, implement automation tools, and optimise data quality control procedures.
• Collaborate with external parties to resolve data issues, ensuring timely and accurate reconciliation of discrepancies.
• Provide support to internal teams, ensuring the delivery of high-quality reports to our valued clients, while addressing any data-related concerns.

• Bachelor’s degree in a stem field such as Maths, Economics, Data Science etc.
• Proven experience in data analysis, quality control, or a similar role within the financial industry or related domains.
• Strong attention to detail, with the ability to identify and address data discrepancies effectively.
• Proficiency in data analysis tools and techniques, with expertise in data validation and quality assurance processes.
• Excellent communication skills to liaise with external partners and internal stakeholders, conveying complex data-related issues clearly and concisely.
• Analytical mindset, with the ability to interpret data, identify patterns, and contribute to process improvement initiatives.
• Prior experience in a fast-paced, high-growth environment is advantageous, demonstrating adaptability and the ability to thrive in a dynamic setting.
• Familiarity with the investment management industry is advantageous.

Benefits:

• Flexible working. We operate a hybrid home/office-working policy and flexible working hours

• 25 Days Holiday (pro-rata)

Interview Process:

• Screening call

• Technical Skills Interview

• Culture-Fit Interview with Data Team