What Jobs are available for Data Modeling in Delhi?

• Lead the development, implementation, and validation of advanced statistical and machine learning models for financial risk assessment (e.g., credit risk, market risk, operational risk).
• Design and oversee model validation processes to ensure accuracy, robustness, and regulatory compliance.
• Collaborate with risk managers, business analysts, and other stakeholders to define modeling requirements and interpret results.
• Mentor and guide junior data scientists and analysts within the team.
• Develop and maintain data pipelines and infrastructure for model training and deployment.
• Stay abreast of the latest advancements in data science, machine learning, and financial risk management.
• Communicate complex findings and model insights clearly to both technical and non-technical audiences.
• Ensure models adhere to regulatory guidelines and internal governance standards.
• Propose innovative solutions to address evolving risk challenges.

• Ph.D. or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 7+ years of experience in data science, with a strong focus on financial risk modeling.
• Proven expertise in statistical modeling, machine learning algorithms, and predictive analytics.
• Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and experience working with large, complex datasets.
• Deep understanding of financial markets, risk management concepts, and regulatory frameworks.
• Experience with model validation techniques and best practices.
• Excellent leadership, communication, and presentation skills.
• Ability to work effectively in a remote, collaborative team environment.

• Assist in collecting, cleaning, and processing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement statistical models and algorithms.
• Create clear and insightful data visualizations and reports.
• Support senior analysts in interpreting data and deriving actionable insights.
• Collaborate with cross-functional teams to understand data needs and project objectives.
• Contribute to the development and maintenance of data analysis tools and frameworks.
• Stay updated with the latest advancements and best practices in data science and analytics.
• Ensure data accuracy and integrity throughout the analysis process.
• Participate in training sessions and team knowledge-sharing initiatives.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and methods.
• Proficiency in at least one programming language such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving skills.
• Strong attention to detail and commitment to data accuracy.
• Good communication skills, with the ability to explain technical concepts to non-technical audiences.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively both independently and as part of a team.

Were Hiring for Our Client! | Data Architect | Remote | Up to 1 Cr + ESOPs

Our client, a leading B2B/SaaS company , is looking for a Data Architect to drive innovation, scalability, and efficiency in data & platform engineering . This is a high-impact role where you'll play a crucial part in shaping the company's data infrastructure and strategy.

• Hands-on individual contributor role initially, with the opportunity to grow into a management leadership position .
• Architect and optimize high-scale, distributed data systems .
• Design and implement scalable data pipelines, APIs, and data infrastructure .
• Define and execute the data strategy & roadmap , collaborating with cross-functional teams.
• Ensure data governance, security, and compliance best practices.
• Preference will be given to candidates from product-based companies due to the complexity and scale of the role.

Key Requirements:

 - Minimum 12 years in software/data engineering (2+ years in an architect role)

 - Strong expertise in distributed systems, big data, and cloud platforms (AWS/GCP/Azure)

 - Hands-on experience with Kafka, Spark, SQL, NoSQL, Data Lakes, ETL Pipelines

 - Deep understanding of system design, algorithms, and data governance

 - Education: B.Tech from a Tier 1 institute preferred

 - Product-based company experience preferred

Why Join?

• Initial Individual Contributor Role Transition into a leadership position as the team scales.
• Opportunity to work on large-scale distributed data systems that power high-performance applications.
• Be part of a team that values innovation, problem-solving, and cutting-edge technology .
• Competitive compensation up to 1 Cr + ESOPs and a flexible remote work environment .

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