Deutsche Bank Analyst Interview Questions, Process, and Tips for Experienced

Q1. Details of past projects? Models worked on, comparison of models
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Q2. Why logistic regression over random forests?
Ans. 
Logistic regression is preferred for interpretability and simplicity compared to random forests.
• Logistic regression is a linear model that is easier to interpret and implement compared to the complex ensemble method of random forests.

• Logistic regression is better suited for binary classification problems where the relationship between the independent variables and the outcome is linear.

• Random forests are more computati...read more
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Q3. Explain classification models and how they work
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Classification models are used to predict the category or class of a new observation based on past data.
• Classification models assign new data points to a specific category or class based on patterns in the training data.

• Common classification algorithms include logistic regression, decision trees, random forests, and support vector machines.

• These models are evaluated based on metrics like accuracy, precision, recall, an...read more
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Q4. How do you assess model performance?
Ans. 
Model performance can be assessed using various metrics such as accuracy, precision, recall, F1 score, ROC curve, and confusion matrix.
• Evaluate accuracy to measure overall correctness of the model's predictions.

• Use precision to assess the proportion of true positive predictions among all positive predictions.

• Consider recall to evaluate the proportion of true positive predictions among all actual positives.

• Calculate F1 ...read more
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Q5. Assumptions of Linear Regression
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Assumptions of Linear Regression include linearity, independence, homoscedasticity, and normality.
• Linearity: The relationship between the independent and dependent variables is linear.

• Independence: The residuals are independent of each other.

• Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

• Normality: The residuals are normally distributed.

• Example: If we are pred...read more
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Payment investigation.

Q1. Sallary discussion
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Q2. N/A
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Q1. What do mean by trade settlement ? What is T+1 or T+2 cycle ?
Ans. 
Trade settlement refers to the process of transferring securities and funds between parties involved in a trade. T+1 or T+2 cycle refers to the number of days it takes for the settlement to occur.
• Trade settlement involves the transfer of securities and funds between parties involved in a trade

• T+1 or T+2 cycle refers to the number of days it takes for the settlement to occur

• T+1 means the settlement occurs on the next bu...read more
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Q2. What is NSDL ? What is CDSL ?
Ans. 
NSDL and CDSL are depositories in India that hold securities in electronic form.
• NSDL stands for National Securities Depository Limited and CDSL stands for Central Depository Services Limited.

• They were established to facilitate holding and trading of securities in dematerialized form.

• Investors can open a demat account with either NSDL or CDSL through a Depository Participant (DP).

• The depositories hold securities such as...read more
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Q1. What is edd
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Q2. What are kyc red flags
Ans. 
KYC red flags are indicators of potential risks in customer identification and verification processes.
• Inconsistent information: A customer provides different addresses on various documents.

• Unusual transaction patterns: A sudden spike in transaction volume that deviates from a customer's normal behavior.

• High-risk jurisdictions: A customer is from a country known for money laundering or terrorist financing.

• Lack of transp...read more
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