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Director, Data Science and Machine Learning (Risk and Fraud)

trustlyNew YorkData
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Salary
$240K – $370K
Job type
Full-time
Experience
Director · 8+ yrs
Posted
10 Sept 2026
Status
Open · checked 7d ago

About this role

Director, Data Science and Machine Learning (Risk and Fraud) is a hybrid role based in New York that suits an experienced technical leader focused on building and deploying risk and fraud machine learning models. This position involves leading a team of data scientists and machine learning engineers while remaining hands-on in model development.

Role Overview

Director, Data Science and Machine Learning (Risk and Fraud) is a hands-on technical leadership position at Trustly in New York. The role sits at the intersection of machine learning, payments risk, product, and engineering, directly influencing approval rates, fraud performance, and customer experience. This position requires working in the office Tuesday through Thursday.

Key Responsibilities

Build, validate, deploy, and improve machine learning models for ACH return risk, fraud, and account takeover.
Develop real-time, online, and offline features using transaction, account, device, and behavioral data.
Mentor, develop, hire, and grow a team of full-stack data scientists and machine learning engineers.
Own the model roadmap, delivery, performance, monitoring, drift detection, and postmortems following loss events.
Maintain model documentation, validation evidence, and audit trails while supporting independent model validation.
Partner with Product and Engineering on scoring latency, feature availability, and risk engine integration.

Requirements

Minimum of 8 years of experience building and deploying machine learning models into production.
At least 2 years of experience leading a team.
Ability to remain deeply hands-on and independently build, deploy, and evaluate production machine learning models.
Strong proficiency in Python and SQL with experience using large-scale datasets and distributed processing engines or cloud data warehouses.
Direct experience in fraud, credit risk, payments risk, or another high-stakes decisioning environment.
Experience with real-time inference, production model monitoring in low-latency environments, loss forecasting, and experimentation methods.

Nice to Have

Bachelor's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research.
Proficiency with pandas and machine learning libraries like scikit-learn, XGBoost, LightGBM, or CatBoost.
ACH or EFT domain expertise including familiarity with NACHA return codes and return economics.
Experience working with open banking or bank transaction data and cloud machine learning platforms such as Databricks, AWS SageMaker, or GCP Vertex AI.
Experience with feature stores, streaming feature computation, rules engines, sequence or graph-based modeling, model risk management, and third-party risk data providers.

Skills and Tools

Python
SQL
Pandas
scikit-learn
XGBoost
LightGBM
CatBoost
Athena
Trino
Spark
Redshift
Snowflake
BigQuery
Databricks
AWS SageMaker
GCP Vertex AI

Salary and Benefits

Salary range of $240K to $370K
Offers Equity
Offers Bonus

About the Company

Trustly is a global leader in Open Banking Payments building a smarter, faster, and more secure financial future by establishing Pay by Bank as the new standard at checkout. The data team operates as a multidisciplinary collective processing millions of transactions in real time to turn complex open banking signals into seamless payment experiences.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

PythonSQLPandasscikit-learnXGBoostLightGBMCatBoostAthenaTrinoSparkRedshiftSnowflakeBigQueryDatabricksAWS SageMakerGCP Vertex AIAWSGCPMachine Learning

Questions candidates ask

Where is the Director, Data Science and Machine Learning (Risk and Fraud) position located?

The role is a hybrid position based out of the New York hub, with an expectation to be in the office Tuesday through Thursday.

What is the salary range for this role?

The salary range is $240K to $370K, with equity and bonus offers included.

How many years of experience are required?

Candidates must have 8 or more years of experience building and deploying machine learning models into production, including at least 2 years of leadership experience.

Is this a pure management role or does it require hands-on technical work?

This is a hands-on technical leadership role where the person leads and mentors a team while remaining capable of independently building, deploying, and evaluating production machine learning models.

What domain experience is expected?

Direct experience in fraud, credit risk, payments risk, or another high-stakes decisioning environment is required.

Ready to apply?

The application is on the official trustly careers page.

Apply on company site