At a Glance
- Tasks: Design and build cutting-edge data systems for massive-scale risk analytics.
- Company: Join Citi, a leader in finance and technology innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for growth.
- Other info: Collaborate with senior stakeholders and lead innovative projects in a dynamic environment.
- Why this job: Make a real impact by solving complex data challenges in finance.
- Qualifications: Passion for data, strong programming skills, and experience with big data technologies.
The predicted salary is between 75600 - 92400 £ per year.
The Opportunity: Are You Ready to Build the Future of Risk Analytics? 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.
Key Responsibilities:
- 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.
What We're Looking For:
- 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.
Senior Hands-on Technologist, Massive Scale Risk Analytics - Vice President in London employer: Citi
Citi is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Equities Technology team. Employees benefit from cutting-edge technology, opportunities for professional growth, and a culture that values diversity and inclusion. With a focus on high-performance analytics and real-time data solutions, Citi empowers its engineers to make impactful contributions while enjoying a supportive atmosphere in a globally recognized financial institution.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Hands-on Technologist, Massive Scale Risk Analytics - Vice President in London
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We think you need these skills to ace Senior Hands-on Technologist, Massive Scale Risk Analytics - Vice President in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Citi, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Citi. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Citi
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Citi!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
