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Hands-on Technologist, Massive Scale Risk Analytics - Vice President

Citigroup Inc., City of Westminster

Hands-on Technologist, Massive Scale Risk Analytics - Vice President

Salary not available. View on company website.

Citigroup Inc., City of Westminster

  • Full time
  • Permanent
  • Onsite working

Posted 4 days ago, 31 Oct | Get your application in now to be included in the first week's applications.

Closing date: Closing date not specified

Job ref: e1911b5a613f4a58b18dce7b41451c90

Location ref: City of Westminster

Full Job Description

  • Architect and build robust, scalable data pipelines to ingest and process billions of trade-level PV calculations from various stress engines.
  • Develop and optimize large-scale aggregation jobs using Apache Spark, ensuring high performance and efficiency.
  • Design and deliver a suite of "intelligent data APIs" that provide flexible, on-demand access to both aggregated and non-aggregated risk data for teams across the firm.
  • Integrate Natural Language Processing (NLP) capabilities to create intuitive, query-based interfaces for data exploration, lowering the barrier to entry for complex analytics.
  • Load and model massive aggregated datasets into high-performance OLAP engines like Apache Pinot, Apache Druid, and Trino.
  • Build powerful, interactive analytical tools and dashboards on top of the OLAP layer, providing summary views and lightning-fast drill-down capabilities.
  • Partner directly with senior stakeholders in the Front Office, Quantitative teams, and Risk Management to understand their analytical needs and deliver innovative solutions.

    A true passion for data, analytics, and solving complex problems at massive scale.
  • A degree in a quantitative or technical field such as Computer Science, Financial Mathematics, or Financial Engineering.
  • Expert-level, hands-on experience with big data technologies, particularly Apache Spark.
  • Proven experience with high-performance OLAP databases such as Apache Pinot, Apache Druid, or Trino.
  • Strong programming skills in Python, Java and/or Scala, and expert-level SQL.
  • Strong background in fundamental computer science concepts, including data structures and algorithms.
  • A mindset for 'AI-first' development, constantly looking for ways to embed intelligence into systems.
  • Experience or a strong interest in applying Natural Language Processing (NLP) to data access and analytics.
  • A knack for solving 'needle in a haystack' problems, with a talent for debugging complex data and access issues.
  • Experience in the financial industry with an understanding of market risk, derivatives, and risk calculations (VaR, Stress Testing, PV) is highly desirable.
  • Exceptional problem-solving skills and the ability to work independently and lead technical projects.
  • Excellent communication skills, with the confidence to collaborate with senior business and quantitative stakeholders.

    Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact., Want to solve one of the most challenging big data problems in finance today? Are you excited by the idea of working directly with front-office and risk quants on massive-scale analytics for critical regulations like FRTB? Do you want to tame billions of rows of complex financial data with Apache Spark and deliver insights to senior leaders in a fraction of a second?
    • Citi is looking for an elite, hands-on technologist to engineer the next-generation analytics platform for our Market Risk organization. This isn't just another data job. You will be the architect and builder of a high-performance system that ingests, processes, and serves petabytes of risk calculation data, making it instantly accessible and understandable to the entire firm. Your Role and Impact As a Senior Technologist, you will be at the heart of the action, designing the systems that power our most sophisticated risk-based calculations. You will take the raw, trade-level Present Value (PV) outputs from our Historical VaR and FRTB Expected Shortfall engines and transform them into a strategic data asset. Your impact will be immediate and far-reaching. You will build the data pipelines that handle immense volumes, create intelligent APIs that democratize data access, and leverage cutting-edge OLAP and NLP technologies to provide unparalleled drill-down and analytical capabilities. You will be the go-to expert who empowers senior stakeholders in the Markets and Risk organizations to make faster, smarter decisions.

Direct job link

https://www.jobs24.co.uk/job/hands-on-technologist-massive-scale-risk-analytics-127669083
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