Junior Pricing Data Scientist at Lendtable

London, England, United Kingdom

Lendtable Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Consumer FinanceIndustries

Requirements

  • Experience using Python (pandas, numpy, scikit-learn) and SQL
  • Theoretical understanding of core ML techniques and statistical principles
  • Confident communicator and contributes effectively within a team environment
  • Self-driven and willing to take ownership of specific tasks and analyses

Responsibilities

  • Learn the domain of products that Lendable serves and understand the data that informs strategy and modelling
  • Research and propose improvements to existing strategies and modelling methodology
  • Clearly communicate results to stakeholders through verbal and written communication
  • Share ideas with the wider team, learn from and contribute to the body of knowledge
  • Work on projects related to pricing, funnel and credit optimisation in collaboration with credit and product teams

Skills

Key technologies and capabilities for this role

Data ScienceMachine LearningPricingCredit RiskAnalyticsPythonSQL

Questions & Answers

Common questions about this position

Is this role remote or hybrid?

The position is hybrid.

What skills are required for the Junior Pricing Data Scientist role?

The role requires skills in machine learning techniques, analytical tools, credit risk models, pricing strategies, and the ability to translate business problems into data questions and propose solutions.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the team culture like at Lendable?

The team is small, high-impact, and focused on pricing, funnel, and credit optimization, where you'll work closely with exceptional, resourceful people, receive mentorship, and take ownership of models.

What makes a strong candidate for this junior data scientist role?

Strong candidates are resourceful problem-solvers who can learn the product domain, understand relevant data, research improvements to existing models, and collaborate across teams on pricing and credit optimization.

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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