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Machine Learning

3 weeks ago

Mumbai Maharashtra, India Fintaz Full time

**Job Title: Machine Learning Developer - Quantitative Research Focus**
**Experience Required**: 5+ years (flexible for highly relevant profiles)
**Location**: [Kurla]

**About the Role**:
**Key Responsibilities**:

- Collaborate closely with the Research Head and Subject Matter Experts (SMEs) to:

- Deploy and test financial strategies.
- Identify promising research areas and evaluate relevant academic papers.
- Experiment with new models and techniques.
- Drive ML model development end-to-end: from conceptualization, data collection, and feature engineering to model training, evaluation, and deployment.
- Conduct in-depth quantitative and qualitative research in financial domains.
- Design and execute back-testing frameworks for trading strategies.
- Maintain thorough documentation of models, experiments, and research insights.
- Coordinate with the broader ML team for implementation and refinement of models.
- Publish whitepapers or research reports based on findings, where applicable.

**Required Skills & Qualifications**:

- Minimum 5 years of hands-on experience in Machine Learning with a strong research orientation.
- Deep knowledge of mathematical and statistical concepts relevant to ML.
- Proven experience in quantitative or qualitative financial research.
- Proficiency in Python, R, or other ML-relevant programming languages.
- Strong understanding of ML algorithms (supervised, unsupervised, reinforcement learning, etc.) and their mathematical underpinnings.
- Familiarity with financial datasets, modeling tools, and industry-standard back-testing environments.

**Preferred Qualifications**:

- Experience working in hedge funds, prop trading firms, quant desks, or asset management companies.
- M.Tech or Ph.D. in Computer Science, Mathematics, Statistics, Quantitative Finance, or a related discipline (preferred, not mandatory).
- Demonstrated mastery in the field through publications, open-source contributions, or impactful projects.
- Exposure to financial time series, risk modeling, alpha generation strategies, or portfolio optimization is a plus.

**Job Types**: Full-time, Permanent

Pay: ₹1,800,000.00 - ₹2,400,000.00 per year

**Benefits**:

- Paid sick time
- Provident Fund

Schedule:

- Day shift
- Fixed shift

Application Question(s):

- What is your current CTC?
- What is your expected CTC?
- What is your Notice Period?

**Experience**:

- Machine learning: 5 years (preferred)

Work Location: In person