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Lead Analyst

Wipro

Lead Analyst

Wipro

·

On-site

·

Full-time

·

2w ago

Job Description

Responsibilities

**We are looking for a candidate with Fact Set experience who will assist in the implementation and later the smooth running of the Fact Set process. This process will be Wipro Credit and Insurance primary performance and risk analytics solution. Initial work will be focused on ensuring the daily data load and output received is accurate and timely. This will involve data validation across asset types and recommending solutions to fix any observed issues. Once we have implemented, the role will be focused on the smooth running of the daily process. I have included below some typical responsibilities of the role.

  • Experience with Fact Set’s Portfolio Analysis tool to measure the performance, risk, attribution, and exposures of portfolios.
  • Good understanding of risk data and risk workflow processes, including data loading, security modeling, and account and composite set-up.
  • Connect with Fact Set portfolio services on missing and erroneous security analytics daily.
  • Ensure the smooth running of the Fact Set upload, calculation and extraction process runs to time daily.
  • Use Fact Set security modelling application to upload the terms of a security not covered by Fact Set.
  • Be able to troubleshoot a failed upload and re-trigger jobs to ensure analytics are delivered daily. This involves understanding of the workflow and the ability to use cornerstone, Fact Set upload engine.
  • Monitor dashboards comparing the data accuracy of holding positions across all asset types from the Fact Set output and another internal Wipro source to ensure reliability of data.
  • Ability to document and communicate complex technical knowledge effectively.
  • Demonstrated ability to work under minimal direction.
  • Ability to work collaboratively across divisions. Applications in Fact Set that would be beneficial to understand:** • Security Modelling • Cornerstone • Portfolio reporting batcher • Fixed Income Analytics Batch • Data Central This role would involve close relations with the risk management, data governance and technology solutions teams.

L͏ead Analyst

Responsibilities

**We are looking for a candidate with Fact Set experience who will assist in the implementation and later the smooth running of the Fact Set process. This process will be Wipro Credit and Insurance primary performance and risk analytics solution. Initial work will be focused on ensuring the daily data load and output received is accurate and timely. This will involve data validation across asset types and recommending solutions to fix any observed issues. Once we have implemented, the role will be focused on the smooth running of the daily process. I have included below some typical responsibilities of the role.

  • Experience with Fact Set’s Portfolio Analysis tool to measure the performance, risk, attribution, and exposures of portfolios.
  • Good understanding of risk data and risk workflow processes, including data loading, security modeling, and account and composite set-up.
  • Connect with Fact Set portfolio services on missing and erroneous security analytics daily.
  • Ensure the smooth running of the Fact Set upload, calculation and extraction process runs to time daily.
  • Use Fact Set security modelling application to upload the terms of a security not covered by Fact Set.
  • Be able to troubleshoot a failed upload and re-trigger jobs to ensure analytics are delivered daily. This involves understanding of the workflow and the ability to use cornerstone, Fact Set upload engine.
  • Monitor dashboards comparing the data accuracy of holding positions across all asset types from the Fact Set output and another internal Wipro source to ensure reliability of data.
  • Ability to document and communicate complex technical knowledge effectively.
  • Demonstrated ability to work under minimal direction.
  • Ability to work collaboratively across divisions. Applications in Fact Set that would be beneficial to understand:** • Security Modelling • Cornerstone • Portfolio reporting batcher • Fixed Income Analytics Batch • Data Central This role would involve close relations with the risk management, data governance and technology solutions teams.

͏

Responsibilities

**We are looking for a candidate with Fact Set experience who will assist in the implementation and later the smooth running of the Fact Set process. This process will be Wipro Credit and Insurance primary performance and risk analytics solution. Initial work will be focused on ensuring the daily data load and output received is accurate and timely. This will involve data validation across asset types and recommending solutions to fix any observed issues. Once we have implemented, the role will be focused on the smooth running of the daily process. I have included below some typical responsibilities of the role.

  • Experience with Fact Set’s Portfolio Analysis tool to measure the performance, risk, attribution, and exposures of portfolios.
  • Good understanding of risk data and risk workflow processes, including data loading, security modeling, and account and composite set-up.
  • Connect with Fact Set portfolio services on missing and erroneous security analytics daily.
  • Ensure the smooth running of the Fact Set upload, calculation and extraction process runs to time daily.
  • Use Fact Set security modelling application to upload the terms of a security not covered by Fact Set.
  • Be able to troubleshoot a failed upload and re-trigger jobs to ensure analytics are delivered daily. This involves understanding of the workflow and the ability to use cornerstone, Fact Set upload engine.
  • Monitor dashboards comparing the data accuracy of holding positions across all asset types from the Fact Set output and another internal Wipro source to ensure reliability of data.
  • Ability to document and communicate complex technical knowledge effectively.
  • Demonstrated ability to work under minimal direction.
  • Ability to work collaboratively across divisions. Applications in Fact Set that would be beneficial to understand:** • Security Modelling • Cornerstone • Portfolio reporting batcher • Fixed Income Analytics Batch • Data Central This role would involve close relations with the risk management, data governance and technology solutions teams.

͏

### **Build capability to ensure operational excellence and maintain superior customer service levels of the existing account/client**

	- Undertake product trainings to stay current with product features, changes and updates

	- Enroll in product specific and any other trainings per client requirements/recommendations

	- Partner with team leaders to brainstorm and identify training themes and learning issues to better serve the client

	- Update job knowledge by participating in self learning opportunities and maintaining personal networks

͏

Deliver

		No
		Performance Parameter
		Measure

		1
		Process
		No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback

		2
		Self- Management
		Productivity, efficiency, absenteeism, Training Hours, No of technical training completed

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关于Wipro

Wipro

Wipro

Public

A technology services and consulting company focused on building solutions that address clients' digital transformation needs.

10,001+

员工数

Bengaluru

总部位置

$8.5B

企业估值

评价

3.1

10条评价

工作生活平衡

3.5

薪酬

2.3

企业文化

3.8

职业发展

2.5

管理层

2.2

45%

推荐给朋友

优点

Good training and learning opportunities

Flexible work hours and remote options

Supportive colleagues and teamwork

缺点

Low and uncompetitive compensation

Limited growth and career advancement opportunities

Poor management direction and support

薪资范围

41,395个数据点

Intern

Intern · Data Scientist

0份报告

$119,586

年薪总额

基本工资

-

股票

-

奖金

-

$101,000

$138,000

面试经验

5次面试

难度

2.0

/ 5

时长

14-28周

录用率

40%

体验

正面 100%

中性 0%

负面 0%

面试流程

1

Application Review

2

Online Assessment/Aptitude Test

3

Technical Interview

4

HR Interview

5

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit