Location: Remote, US
Benefits: Health Insurance, Paid Holidays…
Who We Are
Provenir is a global fintech company with offices across North America, the UK, and Singapore. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you’d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you!
AI Innovation & Research Role
We are looking for a commercially minded expert in Data Science and Machine Learning to work closely with our Product and Technology teams to allow us to develop, improve and innovate on our use of advanced analytical approaches within our software products.
Provenir is a market leading solution for Credit Risk, ID and Fraud use cases across Financial Services – industry knowledge is useful but not required – the ability to pick up new topics quickly and apply technical concepts to business problems is the heart of this role.
Day-to-Day
Interface with stakeholders within the business to understand analytical requirements and opportunities
Research new machine learning algorithms and statistical techniques to solve problems in the detection and prevention of financial risk
Contribute to the productionisation of new analytical features through prototyping, requirements setting and implementation
Provide expert input into future analytical strategies and product development
Share knowledge of analytical techniques and tooling across engineering and wider business teams
Developing statistical models and algorithms for integration with Provenir products
Working with development teams to support and enhance the analytical infrastructure
Working with QA teams to advise on effective analytical testing
Technical Experience
Knowledge of algorithms such as LGBm, decision trees, XGBoost, K means anomaly detection, Bayesian theory, etc.
Understanding of evaluation and explanation techniques in machine learning, e.g., overfitting, bias, cross-validation, LIME, SHAP, etc.
Experience and proficiency with Python and machine learning tools libraries like scikit-learn, pandas, numpy, etc, and statistical packages, e.g., Scipy
Our employees are our top priority, we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly opportunities, and maternity/paternity leave.
At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.
