Senior Data Scientist at Lendtable

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Financial ServicesIndustries

Requirements

Proven background in building models, ideally in credit, lending, or other areas of financial services
Knowledge of machine learning techniques and their respective pros and cons
Ability to communicate sophisticated topics clearly and concisely
Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow
Curiosity, creativity, resourcefulness, and a collaborative spirit
Interest in problems related to the financial services domain (knowledge of loan or credit card underwriting advantageous)
Confident communicator who contributes effectively within a team environment

Responsibilities

Build and deploy models that contribute to the success of the business, primarily focusing on US unsecured loans and credit cards
Stay up to date with the latest advancements in machine learning and credit risk modelling, proactively proposing new approaches and projects that drive innovation
Learn the domain of Lendable's products, understanding the data that informs strategy and risk modelling
Extract, parse, clean, and transform data for use in machine learning
Clearly communicate results to stakeholders through verbal and written communication
Mentor other data scientists and promote best practices throughout the team and business
Research new data sources and unstructured data representation
Work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse, and propose solutions
Deliver data services to stakeholders by engineering CLI programs/APIs
Design, implement, manage, and evaluate experiments of products and services leading to constant innovation and improvement

Skills

Key technologies and capabilities for this role

Machine LearningAICredit Risk ModelingRisk-Based PricingLending ModelsFinancial Services Modeling

Questions & Answers

Common questions about this position

What is the work location or arrangement for this role?

The position is hybrid.

What skills or experience are required for this Senior Data Scientist role?

A proven background in building models, ideally in credit, lending, or other areas of financial services is required. Expertise in machine learning techniques, scorecard development, risk management, and working with various data sources including unstructured data is essential.

What is the salary or compensation 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 take ownership across a broad remit, make impactful decisions from day one, and build the best in-house technology using machine learning and AI.

What makes a strong candidate for this Senior Data Scientist position?

Candidates with proven experience building models in credit, lending, or financial services, expertise in machine learning for risk models, scorecard development, and the ability to work multidisciplinarily across the business stand out.

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

Risks

Rising interest rates may increase Lendtable's cost of capital.

Increased competition from fintech startups could erode Lendtable's market share.

Regulatory scrutiny on retirement-focused financial products could impact Lendtable.

Differentiation

Lendtable offers unique credit lines for 401(k) and ESPP contributions.

The company targets employees of Fortune 500 companies for its services.

Lendtable's model allows wealth-building without reducing take-home pay.

Upsides

Increased employer interest in financial wellness boosts demand for Lendtable's services.

SECURE 2.0 Act encourages higher retirement savings, benefiting Lendtable.

Growing ESPP offerings align with Lendtable's focus on stock purchase plans.

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