Millennium Off Campus 2024 : Hiring Freshers for the Role of Data Engineer | Salary- up to 12.6 LPA

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Millennium Off Campus 2024
Millennium Off Campus 2024

Millennium Off Campus 2024 : Hiring Freshers for the Role of Data Engineer | Salary- up to 12.6 LPA

Millennium Recruitment Process for Freshers 2024:  Millennium Hiring Process for freshers for the Data Engineer, at Bengaluru Location and qualification of Qualification- Ph.D. or master’s in computer science, mathematics, statistics, or other field requiring quantitative analysis or equivalent experience. Hiring Process, Eligibility Criteria and Test Pattern, Interested Candidates can go through the details and apply using the link provided at the bottom of the Post .Millennium Recruitment Process 2024/ 2023/2022/2021.2020, Wipro Selection Process, documents required for Millennium Off Campus Drive for 2024 Batch and other related information is discussed below. Keep a check on this article if you are going to attend Millennium Campus campus Drive 2023 – 2024 , 2025 pass-outs.

Are you looking for Millennium Drive 2024 ? If yes, this article is the right place to know the complete details about Millennium Recruitment Drive . This role will be part of the Non Voice – Other, providing you with required corporate knowledge, real-life experience and insights into the HR function. Aspirants with a strong desire to work with Wipro can apply for the Millennium Off Campus Drive. In this article, we have mentioned the Hiring Process, Package details, Eligibility criteria, and registration steps for the drive.

Millennium Hiring Process, Eligibility Criteria and Test Pattern Freshers Drive Details :

Company Name : Millennium

Company Website : https://www.merriam-webster.com/

Job Role : Data Engineer

Qualification :  Ph.D. or master’s in computer science, mathematics, statistics, or other field requiring quantitative analysis or equivalent experience

Experience : 0 to 1 Years

Salary : up to 12.6 LPA

Job Location : Bengaluru

Last date to Apply : ASAP

Millennium Off Campus Jobs 2024 Eligibility Criteria :

About the job

Millennium is a global investment management firm, built on a sophisticated operating system at scale. We seek to pursue a diverse array of investment strategies, and we empower our employees to deliver exceptional outcomes and enable our portfolio managers to do what they do best – navigate the markets.

Job Description

We are building a world-class systematic data platform which will power the next generation of our systematic portfolio engines.

The latency critical trading group is looking for a Data Scientist/Engineer to join our growing team. The team consists of low latency linux engineers, network engineers, datacenter engineers, and C++ engineers who are responsible for building our low latency stack.

This is an opportunity for individuals who are passionate about quantitative investing. The role builds individual’s knowledge and skills in four key areas of quantitative investing, namely: data, statistics, technology, and financial markets.



Desirable Candidates

  • Ph.D. or master’s in computer science, mathematics, statistics, or other field requiring quantitative analysis or equivalent experience
  • Three years of financial industry experience
  • Experience working with systematic investing teams is a plus
  • Programming expertise in Python and C++
  • Data analysis experience with R, MatLab, scitoolkit, pytorch, or similar
  • Programming skills in SQL
  • Strong problem-solving skills
  • Effective communication skills
  • Strong understanding of modern statistical testing methods

Job Responsibilities

  • Monitoring and Analysis
  • Accessing quality of all captured market data – both live and historical
  • Inventorying all gaps and handling closing gaps via multiple techniques (other internal captures, vendor data, exchange data, etc)
  • Extending parsing and identification of other gaps
  • Understanding and Documenting session times including holiday schedules
  • Comparing day-on-day changes in latency, data rate, bursts, etc
  • Research
  • Documenting history of exchange microstructure behavior changes
  • Understanding and Documenting message timestamp rules for each exchange
  • Documenting history of session schedule changes and protocols
  • Alpha research and presentation to portfolio managers and trading teams
  • Building technology tools to acquire and tag datasets
  • Engaging with vendors, brokers to understand characteristics of datasets
  • Interacting with portfolio managers and quantitative analysts to understand their use cases
  • Building exchange microstructure expertise and helping educate clients as needed
  • Analyzing datasets to generate key descriptive statistics
  • Cleaning historical data
  • Utilizing and maintaining world-class data processing and transformation techniques
  • Tools
  • Building data analysis tools on top of our captured data
  • Improving data visualization tools and capabilities
  • Technical
  • Consolidating several PCAPs in a single PCAPNG with meta-data to represent capture location/time across capture regions
  • Assessing PTP (Precision Time Protocol) quality within a sole source and across multiple Manage large data sets in a hybrid multi-cloud/on-prem sources environment
  • Build performant systems able to analyze terabytes of data quickly

Enhance firm C++ analytics and expose them in a python environment

How to Apply Wipro Freshers Jobs 2024?

All Interested and Eligible Candidates can Apply for Wipro Freshers Jobs 2024 by using below Registration Link as soon as possible before the Last date.

Apply Link – Click Here.

Also Apply for Amazon Work from Home Jobs : Apply Now

About Millennium : Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $69.5 billion in assets. Defined by evolution, innovation and focus, Millennium’s mission is to deliver high-quality returns for our investors.

Millennium seeks to empower talented professionals with the sophisticated expertise, resources and technology to pursue a diverse range of investment strategies across industry sectors, asset classes and geographies.

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