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7 Logistic Regression Jobs

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BI Analyst; Supply Analytics
Confidential

2.0 - 6.0 years

Bangalore, All india

On-site

Role Overview: As a BI Analyst in the Supply Analytics team at Agoda, you will play a crucial role in identifying new partners, cultivating relationships, and ensuring the best outcomes for end customers. Your responsibilities will include managing day-to-day interactions with partners, collaborating with internal teams, and developing tailored business solutions to drive measurable value. This individual contributor role will report to either the Senior Manager or Associate Director within the Supply Department, allowing you to work closely with partners on the ground and contribute to analytical projects that enhance organizational efficiency. Key Responsibilities: - Translate internal bri...

Posted 3 days ago

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Credit Risk Modeling Specialist
SkillLabs

2.0 - 6.0 years

Chennai, All india

On-site

As a credit risk modeler at our company, your role will involve developing and maintaining statistical models for credit risk assessment. You will play a crucial part in utilizing advanced statistical techniques to predict credit risk, enhance model accuracy, and contribute to informed decision-making. Key Responsibilities: - Develop, validate, and implement statistical models to predict credit risk. - Analyze large datasets of financial information to identify patterns and trends. - Monitor the performance of models and make necessary adjustments. - Collaborate with other risk management professionals to enhance credit risk management. - Stay abreast of the latest advancements in credit ris...

Posted 1 week ago

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AI and DATA- Risk Domain-SM
EY

10.0 - 15.0 years

Chennai, All india

On-site

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. **Role Overview:** The AI team at EY GDS caters to clients globally through EYs partner firms. As a Risk Analytics Lead, you will manage multiple Data Science engagements, interact with clients and EY stakeholders, and bring innovative ideas, methodologies, and techniques to the team. You should excel in developing high-performing individuals a...

Posted 1 week ago

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Head of Risk Management - Banking
confidential

7.0 - 11.0 years

Pune, All india

On-site

As a Manager in the Advisory Services Financial Services Office at EY, you will be a part of a globally connected powerhouse of diverse teams that provide integrated services to financial institutions and capital markets participants. Your role will be focused on Credit Risk within the Financial Services Risk Management (FSRM) group, where you will assist clients in identifying, measuring, managing, and monitoring market, credit, operational, and regulatory risks associated with their trading and capital markets activities. **Role Overview:** You will be expected to demonstrate deep technical capabilities and industry knowledge of financial products, lead components of client engagements, un...

Posted 1 week ago

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FS-RISK CONSULTING-FSRM-QBB-IRB-SENIOR
EY

3.0 - 7.0 years

Pune, All india

On-site

Role Overview: At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And EY is counting on your unique voice and perspective to help them become even better. Join EY and build an exceptional experience for yourself, and a better working world for all. Key Responsibilities: - Demonstrate deep technical capabilities and industry knowledge of financial products, particularly lending products. - Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's busines...

Posted 2 weeks ago

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Lead Data Insights Analyst
Target

6.0 - 12.0 years

Bangalore, All india

On-site

As a Lead Data Analyst at Target, you will be exploring data technologies and applying mathematical techniques to derive business insights. Your role will involve determining the best approach to gather, model, manipulate, analyze, and present data. You will lead an agile team, actively participating in ceremonies and team activities. You will have opportunities to continuously upskill by staying current with new technologies through formal training, peer training groups, and self-directed education. Key Responsibilities: - Develop data and metrics to support key business strategies, initiatives, and decisions. - Explore data technologies and apply mathematical techniques to derive business ...

Posted 3 weeks ago

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Risk Consulting Senior
EY

3.0 - 7.0 years

Pune, All india

On-site

Role Overview: You will be joining EY's Financial Services Office (FSO) as a Senior Consultant in the Financial Services Risk Management (FSRM) group, specifically focusing on Credit Risk. Your role will involve providing solutions to help clients in the banking sector identify, measure, manage, and monitor credit risks associated with their portfolios. Key Responsibilities: - Demonstrate deep technical capabilities and industry knowledge of financial products, particularly lending products - Stay updated on market trends and demands in the financial services sector to understand client issues and needs - Monitor project progress, manage risks, and communicate effectively with stakeholders t...

Posted 3 weeks ago

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Exploring Logistic Regression Jobs in India

Logistic regression is a popular statistical technique used for binary classification problems. In India, the demand for professionals skilled in logistic regression is on the rise across various industries such as finance, healthcare, e-commerce, and more. Job seekers looking to embark on a career in this field can explore a wide range of opportunities in the Indian job market.

Top Hiring Locations in India

The top 5 major cities actively hiring for logistic regression roles in India are: 1. Bangalore 2. Mumbai 3. Delhi 4. Pune 5. Hyderabad

Average Salary Range

The estimated salary range for logistic regression professionals in India varies based on experience levels. Entry-level positions can expect salaries ranging from INR 4-6 lakhs per annum, while experienced professionals can earn upwards of INR 15 lakhs per annum.

Career Path

In the field of logistic regression, a typical career path may progress as follows: 1. Data Analyst 2. Data Scientist 3. Senior Data Scientist 4. Machine Learning Engineer

Related Skills

Apart from proficiency in logistic regression, professionals in this field are often expected to have skills such as: - Machine Learning - Python/R Programming - Data Visualization - SQL - Statistical Analysis

Interview Questions

Here are 25 interview questions for logistic regression roles:

  • What is logistic regression? (basic)
  • Explain the difference between logistic and linear regression. (basic)
  • How do you handle multicollinearity in logistic regression? (medium)
  • What are the assumptions of logistic regression? (medium)
  • How do you evaluate the performance of a logistic regression model? (medium)
  • What is the odds ratio in logistic regression? (medium)
  • What is the ROC curve? (medium)
  • How does regularization help in logistic regression? (medium)
  • Explain the concept of maximum likelihood estimation in logistic regression. (advanced)
  • How do you deal with imbalanced classes in logistic regression? (advanced)
  • What is the purpose of AUC-ROC in logistic regression? (advanced)
  • Explain the terms specificity and sensitivity in the context of logistic regression. (advanced)
  • How would you handle missing values in logistic regression? (medium)
  • What is the difference between L1 and L2 regularization in logistic regression? (medium)
  • Can logistic regression be used for multi-class classification? If yes, how? (medium)
  • What is the link function in logistic regression? (advanced)
  • How do you interpret the coefficients in logistic regression? (medium)
  • What is the difference between likelihood and probability? (advanced)
  • How does feature scaling impact logistic regression? (basic)
  • How can you avoid overfitting in logistic regression? (medium)
  • Explain the concept of cross-validation in logistic regression. (medium)
  • How do you handle outliers in logistic regression? (medium)
  • What are the evaluation metrics used to assess a logistic regression model? (medium)
  • How does logistic regression handle categorical variables? (basic)
  • Can you perform feature selection in logistic regression? If yes, how? (medium)

Conclusion

As you navigate the logistics regression job market in India, it's essential to be well-prepared for interviews and showcase your expertise confidently. By honing your skills, staying updated with industry trends, and mastering related skills, you can position yourself as a competitive candidate in this thriving field. Good luck with your job search!

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