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Job Details

Millennium logo
Hedge Funds

Senior Volatility Data Specialist - Systematic Data Platform

at Millennium

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

Join the Systematic Data Platform team to design, build, and maintain a world-class data platform focused on volatility data including reference data, pricing, tick-level data, order book and vol surfaces. Act as a functional expert on options (equities, index, futures) and volatility while collaborating with business and technology stakeholders to integrate diverse data sources and ensure data quality. Develop data products, ingestion pipelines, and analytical tools using technologies such as KDB, Apache Iceberg and Parquet to support systematic portfolio engines. Provide technical support, drive platform transformation, and partner with data and analytics teams to improve functionality and efficiency.

Compensation
$175,000 – $250,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Full Job Description

Senior Volatility Data Specialist - Systematic Data Platform

We are building a world-class systematic data platform to power the next generation of our systematic portfolio engines. We are seeking a Volatility Data Specialist to join our Systematic Data Platform Group. The successful candidate will be part of a team focused on developing and maintaining our data platform, with a primary focus on volatility data (reference data, pricing, tick-level data, order book, vol surface, etc.).

Responsibilities:

  • Design, create, and maintain the data platform, including data ingestion, data product creation, data curation, and ensuring data quality.
  • Serve as a functional expert on options, particularly equities options, index options, options on futures, and options volatility.
  • Collaborate with key stakeholders on platform transformation and the integration of data from diverse sources using KDB, Apache Iceberg, Parquet files, etc.
  • Work closely with business and technology stakeholders to address data-related technical issues and support their data infrastructure needs.
  • Develop data and analytical tools for internal customers to optimize data organization and drive innovation.
  • Partner with data and analytics experts to enhance the functionality and efficiency of our data systems.

Qualifications:

  • 7+ years of professional experience in data engineering, research, or related fields.
  • Proficiency in programming languages such as C++, Python, Java, KDB/Q, or Scala.
  • Strong knowledge of algorithms and data structures.
  • Experience with databases such as SQL Server, Oracle, Redshift, BigQuery, or Snowflake.
  • Must have domain knowledge of equities options, index options, options volatility, and trading.
  • Excellent communication skills to collaborate effectively with stakeholders.
  • Strong self-management and problem-solving abilities.
  • Ability to thrive in a fast-paced environment.
  • Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

Job Details

Millennium logo
Hedge Funds

17 days ago

clicks

Senior Volatility Data Specialist - Systematic Data Platform

at Millennium

ExperiencedNo visa sponsorship

$175,000 – $250,000

USD

City: New York City

Country: United States

Join the Systematic Data Platform team to design, build, and maintain a world-class data platform focused on volatility data including reference data, pricing, tick-level data, order book and vol surfaces. Act as a functional expert on options (equities, index, futures) and volatility while collaborating with business and technology stakeholders to integrate diverse data sources and ensure data quality. Develop data products, ingestion pipelines, and analytical tools using technologies such as KDB, Apache Iceberg and Parquet to support systematic portfolio engines. Provide technical support, drive platform transformation, and partner with data and analytics teams to improve functionality and efficiency.

Full Job Description

Senior Volatility Data Specialist - Systematic Data Platform

We are building a world-class systematic data platform to power the next generation of our systematic portfolio engines. We are seeking a Volatility Data Specialist to join our Systematic Data Platform Group. The successful candidate will be part of a team focused on developing and maintaining our data platform, with a primary focus on volatility data (reference data, pricing, tick-level data, order book, vol surface, etc.).

Responsibilities:

  • Design, create, and maintain the data platform, including data ingestion, data product creation, data curation, and ensuring data quality.
  • Serve as a functional expert on options, particularly equities options, index options, options on futures, and options volatility.
  • Collaborate with key stakeholders on platform transformation and the integration of data from diverse sources using KDB, Apache Iceberg, Parquet files, etc.
  • Work closely with business and technology stakeholders to address data-related technical issues and support their data infrastructure needs.
  • Develop data and analytical tools for internal customers to optimize data organization and drive innovation.
  • Partner with data and analytics experts to enhance the functionality and efficiency of our data systems.

Qualifications:

  • 7+ years of professional experience in data engineering, research, or related fields.
  • Proficiency in programming languages such as C++, Python, Java, KDB/Q, or Scala.
  • Strong knowledge of algorithms and data structures.
  • Experience with databases such as SQL Server, Oracle, Redshift, BigQuery, or Snowflake.
  • Must have domain knowledge of equities options, index options, options volatility, and trading.
  • Excellent communication skills to collaborate effectively with stakeholders.
  • Strong self-management and problem-solving abilities.
  • Ability to thrive in a fast-paced environment.
  • Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.