Industry: Financial Services 

Work experience : 7 +  years

City: Bengaluru

Work Style : 5 days in office in Koramangala, Bengaluru

. 

Whether it’s Collusion, Fraud Rings, Promo Abuse, Chargeback, Account Takeover, or Sim Swap frauds - Bureau’s squad of Fraud Fighters is there to help Product and Growth teams across the globe. 

If you read the above paragraphs and found it intriguing, please consider joining us on this journey where we help businesses and their customers feel safe and secure while transacting across the Internet. This is day zero and we have so much more to build and sell. 

More information on www.bureau.id

What you will do 

* Develop Statistical, Machine Learning  and Deep Learning solutions to tackle fraud and risk

* Manage the end-to-end model lifecycle including real-time model serving

* Build and use data pipelines to extract and communicate meaningful insights from large datasets

* Conduct data-backed experiments and analyses to and fine-tune model performance across a variety fraud MOs and enterprise use cases

* Contribute to developing production-grade software applications backed by statistics and ML

What you bring

* BS, MS or Ph.D in Machine Learning, Computer Science, Mathematics, Statistics or other quantitative disciplines. Experience in Machine Learning Engineering or Data Science roles.

* Proficiency in Python and scaling out to the cloud (AWS/Databricks/Azure) 

* Strong familiarity with SQL, data modelling (preferably DBT), distributed analytic processing technologies (Athena, Big Query) and visualization platforms (Superset, Looker, Tableau)

* Proven expertise in writing production code and deploying DS/ML applications, preferably in fintech fraud, risk, payments or compliance 

* Prior experience in building ML observability to uphold the performance and reliability of ML models in production 

* Skilled in Exploratory Data Analysis to investigate ad-hoc questions and explain anomalous data

* Some familiarity  writing backend code and experience with Golang and efficient containerization using Kubernetes, Docker etc., is a plus

* Advanced expertise in software engineering principles

* Creativity in building data science solutions in the absence of feedback or labelled data

* Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact. 

Benefits at Bureau: 

• Attractive compensation package 

• Monthly Learning Sessions 

• Smart, Kind, and Weird teammates

• Comprehensive Health Insurance 

• Flexible Leave Policy 

• Continuous learning and tools budget 

• Exposure to other functions 

• Lovely office in a prime location