Senior Data Scientist Integrity
Senior Data Scientist Integrity
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Job Description
Get to Know the Team
The Trust data science team serves as the guardians of risk and compliance for all Grab. Our data science team uses our datasets to uncover solutions to multiple problems such as predicting fraud and payment risk with sequencebased models detecting money laundering with graph algorithms and automating ID verification using image recognition. Additionally we lead research to outpace latest fraud tactics contributing to the development of secure products.
Get to Know the Role
Youll fight fraud by analysing transactional data developing and deploying machine learning models and collaborating with teams to ensure seamless integration of fraud detection systems. Youll help keep our platform safe and trustworthy. You will report to a Data Science Manager. This role is based in India.
The Critical Tasks You will Perform
- Analyse transactional data to identify patterns and trends in fraudulent activities using statistical and machine learning techniques.
- Work with partners to translate their needs into analytical requirements and comprehend the operational impact of fraud.
- Develop and test hypotheses about fraudulent behaviour designing experiments and conducting analyses.
- Create train and deploy scalable machine learning models for transaction monitoring and realtime fraud detection.
- Evaluate the performance of models ensuring they are accurate and efficient.
- Maintain fraud detection solutions in production monitoring and improving their effectiveness.
- Collaborate with data scientists engineers product managers and financial operations teams to integrate systems into Grabs platform.
Qualifications :
What Essential Skills You Will Need
- You have at least 5 years experience with data science and machine learning and to understand and detect patterns of fraud.
- Experience formulating hypotheses designing experiments and validating findings.
- Proficiency in creating training and deploying machine learning models for fraud detection.
- Knowledge of using appropriate metrics and datasets to evaluate model performance.
- Expertise in deploying and maintaining machine learning models in a production environment.
- Work with data scientists engineers product managers and financial operations teams.
- Skills in Python and SQL. Familiarity with numeric libraries containers and modular software design.
- Experience with machine learning libraries like Tensorflow Pytorch XGBoost and Sklearn.
- Understanding of DNN architectures such as graph neural networks and diffusion models.
- An approach to staying updated with new research and advancements in relevant fields.
Additional Information :
Life at Grab
We care about your wellbeing at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through LoveallServeall (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
