# Hassan Raza Mahmood

Hassan Raza Mahmood is a remote worker on Himalayas, Data Scientist (Team Lead) at i2c Inc., based in Pakistan.

Source: https://himalayas.app/@hassanrazamahmood

```text
I build real-time fraud and risk machine learning systems for payment institutions.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Pakistan |
| Authorized to work in | Pakistan |
| Salary expectations | 40k+ USD |
| Job categories | Data Scientist, Machine Learning Engineer, Data Science Manager, Fraud Data Science, Risk Data Science |
| Skills | Fraud Detection, Transactional Fraud, Enrollment Fraud, Application Fraud, Merchant Risk, Account Takeover, Account Abuse, Malware Detection, Anomaly Detection, Risk Management, Model Risk Management, XGBoost, scikit learn, PyTorch, Deep Learning, LSTM, Embeddings, Isolation Forest, Clustering, Supervised Learning, Unsupervised Learning, Imbalanced Classification, Model Training, Feature Engineering, Time Series Validation, Stratified Sampling, Statistical Analysis, Controlled Experiments, PySpark, SparkML, Airflow, Pipeline Orchestration, Distributed Computing, Data Pipelines, ETL, Object Storage, Large Scale Data Processing, MLFlow, MLeap, Model Deployment, Real Time Inference, Java, Beta Deployment, Shadow Deployments, Rollback, Root Cause Analysis, Model Monitoring, Lang Chain, Claude, OpenAI (LLMs), Planner Executor, Human In The Loop Evaluation, Python, SQL, DuckDB, Pandas, NumPy, Parquet, Greenplum, PostgreSQL, fastAPI, Flask, SHAP, Population Stability Index, Kolmogorov Smirnov Test, Score Drift, Feature Drift, Percentile Analysis, Team Leadership, Mentorship, Hiring, People Management, Performance Management, Stakeholder Management, Roadmap Ownership |
| LinkedIn | https://linkedin.com/in/hassan-raza-mahmood |

## What I'm looking for

```text
I'm looking to lead and build production machine learning for fraud, payments, and risk, with end-to-end ownership from model strategy through deployment, governance, and measurable business outcomes.
```

## About

```text
At i2c, I lead Data Science, Analytics, and Engineering for fraud and risk across 115 financial institutions. I own model strategy, production deployment, and model risk governance for authorization, enrollment, merchant, customer, and account-takeover risk.

I delivered seven production generations of an authorization fraud model that blocked $1.5M across 59M transactions in two months. The work raised per-client fraud capture from 8–10% to 34.6% of fraud count and 40.81% of fraud value while maintaining a 0.5% false-positive rate.

I design pooled XGBoost models, threshold economics, point-in-time feature pipelines, and real-time inference systems with SHAP reason codes. I’ve also used PyTorch LSTM embeddings and AI-assisted model review to improve detection and speed up challenger evaluation.

Before i2c, I built production malware and network anomaly detection pipelines at Broadstone Technologies. I lead a 15-person team, mentor people into independent project ownership, and work closely with Engineering, Product, Compliance, Governance, and clients to bring models safely into production.
```

## Experience

### Data Scientist (Team Lead) (current)

i2c Inc.. Jun 2022 - Present

```text
Led a 15-person data science team and owned model strategy, production deployment, and model risk governance for a multi-tenant card processor. Delivered fraud detection models that tripled per-client fraud capture while holding friction flat.
```

Skills: XGBoost, PySpark, SparkML, MLeap, Java, Python, SQL, DuckDB, Airflow, MLFlow, SHAP, PyTorch, LSTM, Lang-Chain, Claude, OpenAI, Fraud-Detection, Model-Risk-Management, Real-Time-Inference, Feature-Engineering, A-B-Testing, Team-Leadership

### Associate Data Scientist

Broadstone Technologies. Jun 2021 - Jul 2022

```text
Developed productionized machine learning pipelines for malware detection and network anomaly detection, improving detection recall and reducing false positives. Implemented clustering-based alert triage to suppress repetitive benign activity.
```

Skills: XGBoost, Isolation-Forest, Clustering, Python, SQL, Anomaly-Detection, Malware-Detection, Alert-Triage, Supervised-Learning, Unsupervised-Learning

## Education

### FAST NUCES (National University of Computer and Emerging Sciences)

Bachelor of Science, Computer Science. 2017 - 2021

```text
Bachelor of Science in Computer Science from FAST NUCES, completed in 2021.
```

## Tech stack

- NumPy
- Pandas
- PySpark
- PostgreSQL
- Python
- Java
- PyTorch
- MLflow
- scikit-learn
- Flask
- FastAPI
- Airflow
- SQL
- XGBoost
- LangChain
- DuckDB

To contact Hassan Raza, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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