Senior Data Scientist at Lendtable

London, England, United Kingdom

Lendtable Logo
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

Machine Learning
AI
Credit Risk Modeling
Risk-Based Pricing
Lending Models
Financial Services Modeling

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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