Senior Data Scientist

Envisso
London, UK
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
£70,000.0
Working hours
Shift work
Job source

Tech stack

Python (Programming Language) Logistic Regression SQL Databases Data Processing Large Language Models Xgboost

Job description

Use advanced analytics alongside, where necessary account-level reviews to monitor and assess the portfolios of our partners to ensure we obtain and maintain a deep understanding of where the existing and emerging risks are coming from.

Build, implement and monitor new predictive rules and models which help us expand our capabilities around accurately understanding the level of risk the merchants our partners are presenting.

Liaise with various payments firms and insurers to understand their needs and help shape the solutions we bring to market.

Requirements

We’re looking for someone who is excited at the prospect of facing new and difficult data challenges. Someone who is comfortable working as part of a team who are building things from scratch. We’re looking for someone with deep technical skills, but who is really motivated by making an impact on our business and our customers., * 4-5 years experience conducting analysis in Python and extracting/manipulating data in SQL.

  • 2-5 years experience in a quantitative credit risk or fraud role
  • Experience with supervised models (e.g. logistic regression, gradient boosting).
  • Able to work autonomously and be a proactive problem solver.

Nice-to-Haves

  • Experience in consulting and/or start-up environments
  • Strong commercial acumen and an understanding of the economics underpinning credit or payments portfolios
  • Experience with unsupervised ML methods (e.g. clustering, anomaly detection).
  • LLM prompt management or agentic experience
  • Good grasp of fundamental principles of credit risk modelling and able to creatively apply them to new problems., * How many years of professional experience do you have in a quantitative credit risk or fraud role?
  • How many years of experience do you have with supervised models (e.g. logistic regression, gradient boosting)?
  • How many years of professional experience do you have in conducting analysis in Python and extracting/manipulating data in SQL?
  • What is your expected annual salary in GBP?

Benefits & conditions

Perks

  • Flexible, remote or hybrid working arrangements.
  • Opportunities for significant professional growth and advancement within a company at the forefront of transforming risk management in payments.
  • Globally-focused company, with exposure to Asian, European and American markets.
  • A competitive compensation package, including company equity and performance incentives.
  • Private healthcare employee insurance

Join Us!

At Envisso, we believe in the power of diverse teams to drive innovation. We are committed to fostering a collaborative, supportive, and inclusive environment. If you are ready to play a crucial role in shaping the future of payment risk management, we would love to hear from you!

Pay: From £70,000.00 per year

Benefits:

  • Employee stock ownership plan
  • Private medical insurance
  • Work from home

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