Data Scientist, Cyber Risk

2 months ago

Bengaluru Karnataka, India Safe Securities Full time

Our vision is to be the **Champions of a Safer Digital Future** and the **Champions of Change**. We believe in empowering individuals and teams with freedom and responsibility to align their goals such that we all row in the same direction. We are uncomfortably transparent, autonomous & accountable; we have zero tolerance for brilliant jerks; we have an unlimited vacation policy and more. For us, our **Culture Is Our Strategy** - check out our Culture Memo for more details and surprises.

**Are you a data whiz with a passion for cybersecurity? Do you crave challenges that involve translating complex data into actionable insights to combat cyber threats? Then Safe Security has the perfect opportunity for you**

Safe Security is a leading provider of AI-driven cyber risk management solutions. Our real-time, data-driven platform empowers organizations to predict, prevent, and quantify cyber breaches. As a Data Scientist, Cyber Risk, you will play a critical role in our research team, leveraging your expertise to extract valuable insights from security data and develop models to strengthen our risk assessment capabilities.

**Core Responsibilities**:

- **Data Acquisition and Wrangling**:

- Collaborate with security engineers and IT professionals to collect, extract, and transform relevant data from various sources, including threat intelligence feeds and third-party data.
- Ensure data quality and integrity through cleaning, normalization, and feature engineering techniques.
- ** Cyber Risk Modeling and Quantification**:

- Contribute to developing risk mitigation strategies by identifying and prioritizing high-risk areas.
- Build automations to simulate different scenarios.
- ** Visualization and Communication**:

- Create clear and compelling visualizations to communicate complex cyber risk insights to technical and non-technical stakeholders.
- Present findings and recommendations effectively to inform decision-making on security investments and resource allocation.
- ** Stay Current and Innovate**:

- Maintain awareness of the latest advancements in cyber risk research, data science, and machine learning techniques.
- Proactively propose and champion innovative solutions to enhance our cyber risk management practices.

**Qualifications**:

- Degree in Computer Science, Statistics, Data Science, or a related field (or equivalent experience).
- Minimum 1-3 years of experience in data science, machine learning, or a relevant domain.
- Strong understanding of statistical analysis, data modeling techniques, and machine learning algorithms (e.g., supervised learning, anomaly detection).
- Experience with programming languages like Python and R, ideally with frameworks like Scikit-learn, TensorFlow, or PyTorch.
- Experience working with big data platforms or cloud technologies (AWS, Azure, GCP) is a plus.
- Excellent communication and collaboration skills.
- A keen interest in cybersecurity and a strong understanding of cyber risk concepts.

**Bonus points for**:

- Experience working with threat intelligence feeds, security information, and event management (SIEM) systems.
- Familiarity with cyber risk quantification methodologies (e.g.,MITRE, FAIR).

Join our rocket ship if you want to learn, make your mark and work with incredible talent

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