Forensic Analyst

zetheta algorithms private limited

Website: zetheta.com
Job details:

About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role

The AI Forensic Analyst intern role involves working on innovative financial technology projects that combine domain expertise with cutting-edge tools. This role offers hands-on experience building real-world systems through project-based work in a FinTech startup environment.

Assigned Projects

Interns will work on four core projects during the programme:

1. Conduct an Algorithmic Bias Audit for a credit scoring model
2. Design and implement a model drift detection system
3. Conduct a comprehensive adversarial robustness assessment
4. Conduct a comprehensive explainability and transparency audit

Key Responsibilities

Conduct an Algorithmic Bias Audit for a credit scoring model used in financial decision-making. Design and implement a system to detect model drift and investigate performance degradation in a machine learning model over time. Conduct a comprehensive adversarial robustness assessment of a financial AI lending system by designing 15+ attack scenarios across 4 categories (data poisoning, model evasion, model extraction, and prompt injection), executing them against simulated model outputs, quantifying vulnerabilities with AI-CVSS severity scoring, proposing layered defence countermeasures, and producing a regulatory-grade investigation report. Conduct a comprehensive explainability and transparency audit of a financial AI insurance pricing system by applying advanced explainability techniques such as SHAP, LIME, and counterfactual analysis (DiCE) to interpret model decisions, identify hidden biases and proxy discrimination, and evaluate explanation quality.

Eligibility

Students enrolled in High School, Undergraduate, Postgraduate, or MBA programs from ANY academic discipline, or fresh graduates from any field. No prior work experience required. Self-motivated learners with an interest in FinTech and financial markets.

Qualifications

Programming skills in Python or R. Familiarity with machine learning concepts and model evaluation techniques. Understanding of financial AI systems and bias/fairness frameworks. Interest in adversarial machine learning, explainability (SHAP, LIME), and AI governance.

What You Will Learn

Practical experience building financial technology applications. Understanding of financial markets, trading, and risk management concepts. Hands-on exposure to cutting-edge tools and technologies relevant to the role. Portfolio-worthy projects demonstrating technical and domain expertise. Collaboration skills working in a startup environment.

Internship Details

Duration: Self-paced. Options of 1, 2, 3, 4, or 6 months.

Type: Remote, Project-based.

Compensation: Unpaid. Certificate of Project Work Experience (Internship / Externship).

Location: Work from anywhere.

Application Process

Join us through online enrolment on https://www.zetheta.com/linkedin-apply/ and simply submit your updated CV. We do not conduct any interview or assessment. All motivated early career talent are welcome to take up the role.

Click on Apply to know more.