Sirius AI Tech Stack

AI and data consulting for financial services risk and analytics

Financial Services Jersey City, New Jersey 51–200 employees Privately Held

Sirius AI builds ML-driven risk analytics and credit modeling solutions for financial services. The stack spans Python, scikit-learn, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP), with heavy orchestration tooling (Airflow, Spark, Glue, Dataflow) — a pattern typical of enterprise data platforms rather than lightweight consulting shops. Active hiring skews toward data and senior technical roles, paired with ongoing delivery on credit risk models, portfolio monitoring, and loss forecasting, suggesting they are scaling delivery capacity for multi-cloud implementations.

Tech Stack 25 technologies

Core StackPython scikit-learn TensorFlow PyTorch AWS Apache Spark AWS Glue Azure Data Factory Apache Airflow Delta Lake Kubernetes Prometheus Grafana Adobe Illustrator Adobe Photoshop Adobe InDesign SAS Azure GCP SQL Google Cloud Dataflow Apache Hive Presto Experian R

What Sirius AI Is Building

◆Challenges

Fraud detection and transaction risk modeling
Customer churn and retention analysis
Credit risk assessment and scoring models
Model drift
Cloud agnostic data architecture
Data governance and security
Performance optimization
Model governance compliance
Improving credit risk performance
Balancing portfolio quality and lending growth

▲Active Projects

Credit risk model development
Portfolio monitoring and risk analytics
Loss forecasting initiatives
Ai/ml solutions for financial services
End-to-end ai program delivery
Cloud agnostic data lake architecture
Data governance and security implementation
Ci/cd pipeline for data platforms
Portfolio risk analytics and loss forecasting
Model validation and monitoring

Hiring Activity

Steady15 roles · 5 in 30d

Department

Data

Finance

Product

Design

Risk

Sales

Seniority

Senior

Junior

Manager

Director

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About Sirius AI

Sirius AI is a consulting firm specializing in AI and data solutions for financial services enterprises. The company focuses on credit risk modeling, portfolio analytics, fraud detection, and loss forecasting, typically deployed on cloud infrastructure (AWS, Azure, GCP). Projects center on building production ML pipelines with governance, monitoring, and model validation frameworks. The team includes data engineers, data scientists, product managers, and risk specialists, with notable hiring momentum in India and steady growth in North America.

HeadquartersJersey City, New Jersey

Company Size51–200 employees

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Sirius AI use?

Python, scikit-learn, TensorFlow, PyTorch, AWS, Azure, GCP, Apache Spark, Airflow, Kubernetes, and data tools like Presto, Delta Lake, AWS Glue, and Azure Data Factory.