Product Analyst

Enfint

Greater London

On-site

GBP 65,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Health & wellness
Generous time off
Continuous learning access

Job summary

Enfint ищет старшего аналитика продукта для анализа бизнес-требований и проектирования рабочих процессов по данным рынков и риск-аналитике. Вы будете взаимодействовать с кросс-функциональными командами, чтобы обеспечить корректную интеграцию и качество данных.

Кандидат должен владеть SQL и Python, иметь опыт работы с финансовыми инструментами и методологиями риск-аналитики, а также работать в Agile-среде. Вакансия предполагает активное участие в проектах по интеграции данных и аналитике риска.

Qualifications

  • Старшая позиция аналитика продукта с опытом работы в финансовых услугах.
  • Понимание рынковых данных, справочных данных и расчета рисков.
  • Умение документировать спецификации, сопутствующую документацию и тест-кейсы.
  • Опыт работы с SQL и Python для анализа данных.
  • Опыт работы в гибкой методологии (Agile).
  • Знания в области финансовых инструментов и риск-аналитики.

Responsibilities

  • Работа с командами по анализу требований и проектирование рабочих процессов для ingest/обогащения/валидации рыночных данных.
  • Перевод бизнес- и операционных задач в спецификации, маппинги данных, пользовательские истории и критерии приемки.
  • Поддержка проектирования и улучшения конвейеров данных, API, интеграционных сервисов и контроля качества.
  • Расследование сложных данных и проблем процессов с использованием SQL, Python, логов и дашбордов.
  • Поддержка UAT, регрессионного тестирования, релизной готовности и пострелизного мониторинга.
  • Выступать старшим экспертом по данным для внутренних и клиентских команд по потокам данных и зависимостям.

Skills

Senior product analyst
SQL
Python
Data analysis
Agile
Documentation
Financial instruments knowledge

Education

Finance/Economics/Mathematics/CS/Data Science background

Tools

Snowflake
Databricks
Spark
AWS
Azure
Confluence
Azure DevOps
Git
Tableau
Power BI

Job description

Описание

Financial Risk Analytics provides products and solutions to financial institutions to measure and manage market risk, counterparty credit risk, regulatory risk capital, and derivative valuation adjustments.

Задачи
  • Work with product, financial engineering, data, technology, support, professional services, and client-facing teams to analyze requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services
  • Translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria, test scenarios, release notes, and operational documentation
  • Support the design and continuous improvement of data pipelines, APIs, integration services, controls, monitoring, observability, exception management, and automation across Market Data and Integration workflows
  • Investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis
  • Support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring
  • Act as a senior subject matter expert for internal stakeholders and client-facing teams on data flows, dependencies, constraints, and expected behavior
Требования
  • Senior experience as a product analyst, business analyst, data analyst, implementation analyst, risk technology analyst, or similar role within financial services, market data, or analytics technology
  • Strong understanding of market data, reference data, pricing data, data quality, data lineage, data controls, and integration workflows
  • Mandatory experience analyzing and documenting data pipelines, APIs, batch processes, event-driven workflows, databases, file-based interfaces, or cloud-based data platforms
  • Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation
  • Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis
  • Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities, credit default swaps, market risk, sensitivities, VaR, stress testing, curves, scenarios, pricing inputs, and model data requirements
  • Experience working with Agile delivery teams and collaborating across product, engineering, QA, support, financial engineering, and client-facing functions
  • Excellent analytical, communication, and problem-solving skills, with the ability to explain complex data flows and operational issues clearly to technical and non-technical stakeholders
  • Background in Finance, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline
  • Nice to have: Experience with Risk Analytics, Buy Side Risk, Traded Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions, familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms, knowledge of market data vendors, data mastering, golden-source design, curve construction, historical market data, pricing services, scenario generation, or analytics input validation, experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics, CFA, FRM, CQF, or other relevant professional qualification.
Условия
  • Health & wellness health care coverage
  • Generous time off
  • Continuous learning access
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