Senior ML Engineer — PD & Credit Risk, Flexible Hours

Datacontroller Toogeza Ltd.; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

20 paid days off

Flexible scheduling

Medical insurance support

Sports activities reimbursement

Foreign language support

International agile team

Job summary

toogeza is seeking a Senior ML Engineer to join a client project in the FinTech space. You will design and deploy PD models, build credit-limit strategies, and explore AI/ML opportunities to boost efficiency and revenue.

Responsibilities include feature engineering, data source analysis, model monitoring, A/B testing, and LLM-based process improvements within an international, agile team.

Qualifications

• 7+ years in ML/DS with 3+ years in credit-lending organisations.
• Proven delivery and productionisation of PD models and credit strategies.
• Advanced Python and ML algorithm knowledge; feature engineering and evals.
• Strong SQL, data sourcing, cleansing, and feature generation.
• Experience in modelling environments (local/cloud/on-prem).
• Detail-oriented, accountable, and team/individual targets driven.
• English at least Intermediate (B1) or higher.

Responsibilities

• Design, train, and deploy PD models.
• Build credit-limit strategies and related ML solutions.
• Identify AI/ML opportunities to boost efficiency and revenue.
• Engineer features from data sources for modeling.
• Produce internal model documentation and monitoring.
• Plan and execute A/B tests.
• Develop LLM-based solutions to streamline processes.

Skills

Machine Learning

Data Science

Credit-lending experience

Python

SQL

Feature engineering

Model deployment

Model evaluation

A/B testing

English communication

Tools

Power BI

OpenAI API

Self-hosted models

Job description

toogeza is seeking a Senior ML Engineer to join a client project in the FinTech space. You will design and deploy PD models, build credit-limit strategies, and explore AI/ML opportunities to boost efficiency and revenue.

Responsibilities include feature engineering, data source analysis, model monitoring, A/B testing, and LLM-based process improvements within an international, agile team.