Motilal Oswal Financial Services Interview Questions, Process, and Tips

Q1. How do you complete your kra
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Q2. Cross selling product
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Q1. Salary expectation
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Q2. Previous package
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Q1. Tell me about you self
Ans. 
I am a dedicated and experienced Relationship Manager with a passion for building strong client relationships.
• I have over 5 years of experience in relationship management

• I excel at communication and problem-solving skills

• I have a proven track record of exceeding sales targets

• I am skilled in building and maintaining client relationships

• I am passionate about helping clients achieve their financial goals
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Q1. Can u bring us sales?? From where do you bring sales for us??
Ans. 
Yes, I can bring sales by leveraging my network, cold calling, attending networking events, and utilizing social media platforms.
• Utilize my existing network to generate leads and referrals

• Engage in cold calling to reach out to potential clients

• Attend networking events to connect with prospects and build relationships

• Utilize social media platforms to promote our services and attract new clients
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Q1. If you are experienced for 5 -7 years no Technical questions are asked rather you have to showcase your previous achievement and target done on that basis question would be asked whether you will do the sa...read more
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Q2. All Research Questions are asked for advisors. Those questions are useless as per my experience but still u have to prepare for it.
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Q1. Introduce about yourself?
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Q2. How do you acquire customer?
Ans. 
I acquire customers through various channels such as referrals, networking events, social media, and cold calling.
• Utilize referrals from existing customers to expand customer base

• Attend networking events to meet potential clients and build relationships

• Utilize social media platforms to reach a wider audience and engage with potential customers

• Cold calling potential leads to introduce services and generate interest
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It contained python coding questions as well as machine learning questions

Q1. Sql joins, python codes
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Q2. Complete codes and correct erros
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Q3. Machine learning
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