Careers at Cerebraix

• C2H (6 months contractual)
• Please share the candidates with Enterprise Application Development experience.
• Must have: Python (with Django), JQuery, Pandas, AWS, Enterprise App Development, OOP principles. 
• Good to have : HTML/CSS, ORM, PostgreSQL, REST APIs, Modern dev tool.

• Strong proficiency in Python programming language with Django framework.
• Should have a strong understanding of object-oriented design principles. Experience in java will be an added advantage.
• Good coding / debugging/ clean and reusable code writing skills.
• Having a good understanding of experience with ORM frameworks such as Hibernate or JPA.
• Understand code security / authentication and authorization mechanisms.
• Experience with database-driven development using PostgreSQL database.
• Should have experience leading teams and providing technical guidance.
• Should have experience building enterprise applications.
• Solid understanding of RESTful API design and implementation.
• Experience in Bootstrap 4 and jQuery will be an added advantage.
• Experience in Human Resource Information Systems will be an added advantage.
• Familiarity with Microservices architecture and design patterns.
• Experience with modern application development tools and libraries

• We are looking for a Senior Data Scientist (Gurgaon) with 4+ years of experience for risk modelling for our Housing Finance business.

• The role involves developing and implementing credit risk models using scorecards, regression, decision trees, GBM, Android other ML techniques to support credit decisioning and portfolio risk management.
• Strong skills in Python/R, SQL, and statistical modelling are required.
• Candidates with prior exposure to credit scoring or financial risk analytics is a must.

Must Have Skills:

• Python / R
• Experience in risk scorecards, predictive modelling, machine learning.
• Experience in Univariate and Multivariate Regression, Generalized Regression Modelling, Time series forecasting.

Key Results Areas

• Data mining and identification of trends
• Communication of trends and insights to stakeholders
• Development of scorecards & predictive models

Responsibilities

• understand a business problem & translate into statistical one is a must.
• He/she should be able to decide on the best modeling/analysis techniques and provide actionable insights/ model algorithms to the business. 

Model development & Deep-dive Strategic Analysis:

• Data extraction: Extract data from appropriate sources. Require knowledge of databases.
• Data processing: Perform complex data processing (e.g. merging, sorting, data transformations).
• Profiling and analysis: Combine in-depth business knowledge, insights, and techniques such as data visualization, cross-tabs, statistical tests, and data mining techniques to identify risk segments, behavioral trends, product preferences, up-selling, cross-selling, and retention opportunities
• Model development: Apply standard and cutting-edge techniques (statistical modeling, data mining, predictive analytics, machine learning, optimization) to identify drivers of a business metric. Compare techniques using validation to arrive at the best model.

Model scoring and business applications of modeling/analytics:

• Insert developed models into the scoring process
• Improvise the models based on feedbacks from scoring process 

Communication, Coordination & Presentation:

• Work with a consultative mindset to gather requirements from other team professionals to identify the right requirements.

Skills:

• Extensive experience of statistical tools e.g. R, Python, VBA, Excel etc.
• Experience in statistical modelling using Univariate and Multivariate Regression, Generalized Regression Modelling, Time series forecasting, Non-Parametric methods, Logistic Regression, Survival Analysis, Factor Analysis, Clustering, CART, Decision Trees, CHAID, Linear Optimization, Hypothesis testing, Boosting Techniques, Factor Analysis, Scorecard Development etc
• Experience in risk scorecards, predictive modelling, machine learning etc.
• Ability to extract data from databases, clean and prepare for modelling.

Education:

• Graduate/Post Graduate in Statistics/Data Science preferred

• C2H (6 months contractual)
• Please share the candidates with Enterprise Application Development experience.
• Must have: Python (with Django), JQuery, Pandas, AWS, Enterprise App Development, OOP principles. 
• Good to have : HTML/CSS, ORM, PostgreSQL, REST APIs, Modern dev tool.
• Strong proficiency in Python programming language with Django framework.
• Should have a strong understanding of object-oriented design principles. Experience in java will be an added advantage.
• Good coding / debugging/ clean and reusable code writing skills.
• Having a good understanding of experience with ORM frameworks such as Hibernate or JPA.
• Understand code security / authentication and authorization mechanisms.
• Experience with database-driven development using PostgreSQL database.
• Should have experience leading teams and providing technical guidance.
• Should have experience building enterprise applications.
• Solid understanding of RESTful API design and implementation.
• Experience in Bootstrap 4 and jQuery will be an added advantage.
• Experience in Human Resource Information Systems will be an added advantage.
• Familiarity with Microservices architecture and design patterns.
• Experience with modern application development tools and libraries

• C2H (6 months contractual)
• Please share the candidates with Enterprise Application Development experience.
• Must have: Python (with Django), JQuery, Pandas, AWS, Enterprise App Development, OOP principles. 
• Good to have : HTML/CSS, ORM, PostgreSQL, REST APIs, Modern dev tool.
• Strong proficiency in Python programming language with Django framework.
• Should have a strong understanding of object-oriented design principles. Experience in java will be an added advantage.
• Good coding / debugging/ clean and reusable code writing skills.
• Having a good understanding of experience with ORM frameworks such as Hibernate or JPA.
• Understand code security / authentication and authorization mechanisms.
• Experience with database-driven development using PostgreSQL database.
• Should have experience leading teams and providing technical guidance.
• Should have experience building enterprise applications.
• Solid understanding of RESTful API design and implementation.
• Experience in Bootstrap 4 and jQuery will be an added advantage.
• Experience in Human Resource Information Systems will be an added advantage.
• Familiarity with Microservices architecture and design patterns.
• Experience with modern application development tools and libraries

Must Have Skills:

• Degree in Statistics is Mandatory
• 5 Years solid Experience in Credit Risk Modelling and Financial Risk Modelling is Mandatory
• Kindly do NOT share candidates with Analyst and Data Management experience only.

Key Results Areas

• Data mining and identification of trends
• Communication of trends and insights to stakeholders
• Development of scorecards & predictive models

Responsibilities

• understand a business problem & translate into statistical one is a must.
• He/she should be able to decide on the best modeling/analysis techniques and provide actionable insights/ model algorithms to the business. 

Model development & Deep-dive Strategic Analysis:

• Data extraction: Extract data from appropriate sources. Require knowledge of databases.
• Data processing: Perform complex data processing (e.g. merging, sorting, data transformations).
• Profiling and analysis: Combine in-depth business knowledge, insights, and techniques such as data visualization, cross-tabs, statistical tests, and data mining techniques to identify risk segments, behavioral trends, product preferences, up-selling, cross-selling, and retention opportunities
• Model development: Apply standard and cutting-edge techniques (statistical modeling, data mining, predictive analytics, machine learning, optimization) to identify drivers of a business metric. Compare techniques using validation to arrive at the best model.

Model scoring and business applications of modeling/analytics:

• Insert developed models into the scoring process
• Improvise the models based on feedbacks from scoring process 

Communication, Coordination & Presentation:

• Work with a consultative mindset to gather requirements from other team professionals to identify the right requirements.

Skills:

• Extensive experience of statistical tools e.g. R, Python, VBA, Excel etc.
• Experience in statistical modelling using Univariate and Multivariate Regression, Generalized Regression Modelling, Time series forecasting, Non-Parametric methods, Logistic Regression, Survival Analysis, Factor Analysis, Clustering, CART, Decision Trees, CHAID, Linear Optimization, Hypothesis testing, Boosting Techniques, Factor Analysis, Scorecard Development etc
• Experience in risk scorecards, predictive modelling, machine learning etc.
• Ability to extract data from databases, clean and prepare for modelling.

Education:

• Graduate/Post Graduate in Statistics/Data Science preferred

Roles and Responsibilities

• Lead the design and development of complex software solutions using Java technologies.
• Collaborate with architects, product managers, and business teams to understand requirements and translate them into technical solutions.
• Oversee the development lifecycle including planning, coding, testing, deployment, and maintenance.
• Guide and mentor junior developers to improve code quality, architecture, and performance.
• Conduct code reviews and ensure adherence to industry standards and best practices.
• Troubleshoot and resolve production issues in a timely manner.
• Stay updated with emerging trends in technology and recommend tools/processes for continuous improvement.
• Take ownership of delivery timelines and ensure high-quality outcomes.

Requirements

• Hands-on experience in Java and J2EE technologies And Jasper Framework.
• Strong understanding of object-oriented design and microservices architecture.
• Proficient in frameworks like Spring, Spring Boot, Hibernate, etc.
• Experience with RESTful APIs, web services, and integration patterns.
• Good knowledge of databases – both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB).
• Experience with DevOps tools, CI/CD pipelines, and containerization (Docker/Kubernetes) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and leadership skills to manage team interactions and client discussions.