Bajaj Finserv

Bajajfinserv.in is the official website of Bajaj Finserv, a leading financial service provider in India. The website offers a wide range of financial products and services including loans, insurance, investments, and savings. Visitors can apply for various types of loans such as personal, home, business, and education loans. The website also provides access to investment and savings products such as fixed deposits, mutual funds, and savings accounts. In addition, users can purchase insurance policies for their personal and business needs. The website is easy to navigate and offers comprehensive information about the company's financial offerings as well as customer support and assistance.

Customers can get their queries resolved through the Bajaj Finserv mobile app as well. One can find the app download link at Bajaj Finserv’s portal.paisabazaar.comBajaj Finserv has its own virtual assistant named BLU that helps customers get their queries resolved instantly. One can reach the BLU portal and ask questions to the virtual assistant directly.

Bajaj Finserv shares have declined more than 15 per cent in 2022 (year-to-date) so far whereas they are up about 4 per cent in a year’s period.news18.comThe surge in Bajaj Finserv of up to 10 per cent came after the board approved bonus issue in the ratio of 1:1 and stock split in the ratio of 1:5.

With an online personal loan from Bajaj Finserv, you can borrow up to Rs. 25 lakh and get instant approval. Personal loans are one of the most popular types of financing available today. Rs.bajajfinserv.inA personal loan is an unsecured financial offering offered by Bajaj Finserv and other lenders. You can borrow money and repay it in a series of small instalments over a period of time.

  • Encrypted
    Site is Encrypted

  • Country
    Hosted in United States

  • Latitude\Longitude
    37.751 / -97.822    Google Map

  • Traffic rank
    #7,932 Site Rank

  • Site age
    17 yrs old

  • Site Owner information
    Whois info

  • Traded as
    BSE,:,532978,NSE,:,BAJAJFINSV,NSE NIFTY 50 Constituent

  • Founded
    May 2007

  • Founder
    Jamnalal Bajaj

  • Headquarters
    Pune,,,Maharashtra,, India

  • Key people
    Sanjiv Bajaj,(Chairman, MD & CEO)

  • Number of employees
    26,969 (2020)

  • Parent
    Bajaj Group

  • Subsidiaries
    Bajaj Finance,Bajaj Allianz General Insurance,Bajaj Allianz Life Insurance,Bajaj Housing Finance,Bajaj Finserv Markets

Traffic rank
#7,932
Site age
17 yrs
Location
United States
Popular Questions for Bajaj Finserv
Newest job postings for Bajaj Finserv
via JobLeads posted_at: 9 days agoschedule_type: Full-time
Bajaj FinServ Health Limited Relationship Manager - Doctor Distribution Network... Sales Experience: 3 - 8 Years Responsibilities : - Managing and supporting effective deployment of sales professionals with respect to the geographical area. - Exploring new markets and in allocating resources to most profitable opportunities. - Develop and manage channel partners effectively - Manage productivity by fixing productivity parameters for sales Team. - Bajaj FinServ Health Limited

Relationship Manager - Doctor Distribution Network...

Sales Experience: 3 - 8 Years

Responsibilities :

- Managing and supporting effective deployment of sales professionals with respect to the geographical area.

- Exploring new markets and in allocating resources to most profitable opportunities.

- Develop and manage channel partners effectively

- Manage productivity by fixing productivity parameters for sales Team.

- Creating a strong & compliant sales culture across the channel to drive acquisitions, profitability and employee development.

- Identifying the need of sales training, analyzing changing market trends, channel development etc. Also giving feedback & suggestions to the management.

- Ensure implementation of promotional plans & contests and suggesting new and innovating promotion plan for the area of work.

- Ensuring highest levels of employee relationship, motivation & engagement to drive results & high levels of employee satisfaction
Show more details...
via JobLeads posted_at: 8 days agoschedule_type: Full-time
(Summarize in one statement why the job exists; and how it contributes to the overall objective of the company) PRINCIPAL ACCOUNTABILITIES... (Accountabilities associated with the job Partner and PSF Payout Audit: Partner Allocation and Efficiency calculation checking Partner payout grid approval checking Partner payout computation checking Partner fixed cost recommendation checking Contest payout recommendation and calculation checking Payout (Summarize in one statement why the job exists; and how it contributes to the overall objective of the company)

PRINCIPAL ACCOUNTABILITIES...

(Accountabilities associated with the job

Partner and PSF Payout Audit:

Partner Allocation and Efficiency calculation checking

Partner payout grid approval checking

Partner payout computation checking

Partner fixed cost recommendation checking

Contest payout recommendation and calculation checking

Payout release process compliance

Partner payout exclusion/exception checking

Deviation approvals checking

Observation sharing and closure:

Sharing audit observations with stake holders and ensuring closure with actions

Proactive and preventive measures:

Identification of risk areas in payout process

Implementation of preventive measure to avoid reoccurrence of observations

Analysis of historical payout trends

Audit of critical HO process on need basis

Observation sharing and closure

Usage of SQL

Must be able to use SQL, MS-Access tools for electronic computations and verification of the payouts
Show more details...
via Energy Jobline posted_at: 1 day agoschedule_type: Full-time
Job Summary . Unit Manager - Business Ontology & Knowledge Engineering/Senior Unit Manager - Business Ontology & Knowledge Engineering Job Purpose 'This position is open with Bajaj Finance ltd.' Job Duties & Key Responsibilities . Duties and Responsibilities - Duties and Responsibilities: Key Role Responsibilities 1. Develop | Build | Manage | Data Capability products and services 2. Create ... Manage Standard Operating Procedure (SOP) & Turn Around Job Summary . Unit Manager - Business Ontology & Knowledge Engineering/Senior Unit Manager - Business Ontology & Knowledge Engineering Job Purpose 'This position is open with Bajaj Finance ltd.' Job Duties & Key Responsibilities . Duties and Responsibilities - Duties and Responsibilities: Key Role Responsibilities 1. Develop | Build | Manage | Data Capability products and services 2. Create ... Manage Standard Operating Procedure (SOP) & Turn Around Time (TAT) 3. Data Pre-process & Standardisation 4. Implement Production Pipelines 5. Manage | Maintain | Enhance - Data Engineering Stack | Technology 6. Support | Build Data Science Capability Basic Qualifications (Mandatory): 7. Minimum 2+ years of managing hands on Data Engineering with big data roles 8. Hands on experience on the following areas a. Data Engineering implementations (PySpark SPARK Java Scala etc.) - 2+ required b. Data Warehousing (Microsoft Azure DW Redshift Teradata etc.) c. Data Lake (MS AWS etc.) d. Big Data Ecosystem (such as Hadoop Spark) e. Large Scale data processing f. Production scale Database (such as Oracle MS SQL Server MySQL PostgreSQL) 9. Support and build Data Science Capability 10. Working proactively - agile | devops | iterative approach 11. Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time. 12. Strong team working and working with grounded collaborations (inter and intra teams) 13. Self-driven & high ownership levels are a must 14. Good verbal and written/presentation skills are a must as well as the ability to work effectively across internal and external partners/virtual teams. 15. Constantly ahead of curve in latest Data Science related technologies and capabilities that are relevant to BFL/ Business Qualifications (Nice to have): 1. Strong orientation to Algorithms Mathematics & Statistics 2. NoSQL (such as HBase MongoDB Cassandra Cosmos) 3. Azure Data Bricks | Other scalable compute platforms 4. Strong understanding of Microsoft Azure Cloud Stack and its data & compute products 5. Graph DB (such as Arango Orient Neo4j etc.) Educational Qualifications (Mandatory): 1. Educational background BTech | MTech | (Computer Science Data Mining Mathematics Statistics Electronics Communications) Capability must be referenceable for reference check if required. Required Qualifications and Experience . Duties and Responsibilities: Key Role Responsibilities 1. Develop | Build | Manage | Data Capability products and services 2. Create | Manage Standard Operating Procedure (SOP) & Turn Around Time (TAT) 3. Data Pre-process & Standardisation 4. Implement Production Pipelines 5. Manage | Maintain | Enhance - Data Engineering Stack | Technology 6. Support | Build Data Science Capability Basic Qualifications (Mandatory): 7. Minimum 2+ years of managing hands on Data Engineering with big data roles 8. Hands on experience on the following areas a. Data Engineering implementations (PySpark, SPARK, Java, Scala, etc.) - 2+ required b. Data Warehousing (Microsoft Azure DW, Redshift, Teradata, etc.) c. Data Lake (MS, AWS, etc.) d. Big Data Ecosystem, (such as Hadoop, Spark) e. Large Scale data processing f. Production scale Database (such as Oracle, MS SQL Server, MySQL, PostgreSQL) 9. Support and build Data Science Capability 10. Working proactively - agile | devops | iterative approach 11. Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time. 12. Strong team working and working with grounded collaborations (inter and intra teams) 13. Self-driven & high ownership levels are a must 14. Good verbal and written/presentation skills are a must, as well as the ability to work effectively across internal and external partners/virtual teams. 15. Constantly ahead of curve in latest Data Science related technologies and capabilities that are relevant to BFL/ Business Qualifications (Nice to have): 1. Strong orientation to Algorithms, Mathematics & Statistics 2. NoSQL (such as HBase, MongoDB, Cassandra, Cosmos) 3. Azure Data Bricks | Other scalable compute platforms 4. Strong understanding of Microsoft Azure Cloud Stack and its data & compute products 5. Graph DB (such as Arango, Orient, Neo4j, etc.) Educational Qualifications (Mandatory): 1. Educational background BTech | MTech | (Computer Science, Data Mining, Mathematics, Statistics, Electronics, Communications) Capability must be referenceable for reference check if required Show more details...
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