Finance Data Analyst at Lendtable

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

FintechIndustries

Requirements

Strong academic background (STEM, Data Science, or Finance preferred)
Sharp analytical and problem-solving skills with high attention to detail
Proficiency in Excel, Google Sheets, and comfort working with large data sets
Experience using Python and SQL
Strong organisational skills and the ability to manage cross-team deliverables
Thrives in an entrepreneurial environment and wants to have a real impact
Nice to have: Knowledge of machine learning techniques
Nice to have: Strong SQL and interest in data engineering

Responsibilities

Take ownership of monthly investor servicing reports across all products, ensuring accuracy, consistency, and timely delivery
Manage a wide range of transaction monitoring and key reconciliations, including loan transactions, settlements, investor liquidity, and business operations
Reconcile large data sets to support accurate reporting across Finance and Capital Markets
Develop automation tools to streamline processes, reduce manual effort, and shorten timelines
Prepare and monitor compliance certificates and assist with monthly management financials
Identify and implement process improvements across investor reporting and financial reconciliations to enhance efficiency and control

Skills

Key technologies and capabilities for this role

SQLExcelPythonData ReconciliationAutomationFinancial ReportingProcess ImprovementTransaction Monitoring

Questions & Answers

Common questions about this position

Is this role remote or hybrid?

The position is hybrid.

What skills are required for the Finance Data Analyst role?

Required skills include a strong academic background in STEM, Data Science, or Finance, sharp analytical and problem-solving skills with high attention to detail, proficiency in Excel, Google Sheets, and handling large data sets, experience with Python and SQL, and strong organisational skills.

What is the salary for this position?

This information is not specified in the job description.

What is the company culture like at Lendable?

Lendable features small teams of exceptional, relentlessly resourceful people who solve problems and find smarter solutions, an entrepreneurial environment where you take ownership and make impactful decisions from day 1, and in-house technology using data, machine learning, and AI.

What makes a strong candidate for this role?

Strong candidates have a STEM, Data Science, or Finance background, excel in analysis with Python/SQL and large datasets, manage cross-team deliverables effectively, and thrive in an entrepreneurial setting seeking real impact; nice-to-haves include machine learning knowledge and strong data engineering interest.

Lendtable

Provides credit lines for retirement contributions

About Lendtable

Lendtable helps employees increase their long-term wealth by providing lines of credit for retirement and employee stock purchase plans (ESPP). This service allows employees to contribute to their 401(k) plans or ESPPs without reducing their take-home pay, enabling them to take full advantage of employer matching contributions. The application process is straightforward, and Lendtable earns revenue through fees on the credit extended. The company's goal is to maximize retirement savings for employees of large corporations while keeping their monthly budgets intact.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$22.5MTotal Funding

SERIES_ACompany Stage

Fintech, Financial ServicesIndustries

11-50Employees