Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко описана и сочетает аналитику рисков, работу с данными и взаимодействие с институциональными клиентами, но акцент на поддержке и инцидентах может создавать регулярную операционную нагрузку.
Актуальные инструменты
Финансовые технологии
Понятная зона ответственности
?Операционный акцент
?Работа с часовыми поясами
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Service Delivery Consultant (Risk Analytics) (FinTech/Risk Analytics): Delivering accurate, timely risk analytics and data services for institutional investment clients with an accent on portfolio data, reconciliations, incident resolution, and client communication. Focus on investigating complex financial datasets, supporting API and SFTP workflows, resolving analytics exceptions, and coordinating delivery across global teams.
Location: Manila, Philippines; hybrid work arrangement with 2 days per week in the office. Working hours follow the APAC schedule, 9:00 AM–6:00 PM, with occasional overlap with the EMEA team.
Attractive salary, bonus scheme, and pension are provided, with no exact amounts stated.
Company
hirify.global, an independent subsidiary of Deutsche Börse Group, provides integrated investment management and risk analytics solutions for investment and asset managers.
What you will do
Own end-to-end analytics data delivery for assigned institutional clients, including holdings and pricing imports, report generation, and analytics reconciliation within agreed SLAs.
Triage and escalate workflow issues and unexpected analytics results, driving resolution with the appropriate teams.
Lead incident and delivery updates, answer client questions, and prepare external root-cause analyses with internal teams.
Work with complex portfolio and instrument datasets, including FX forwards, options, and interest rate swaps.
Build working knowledge of AxiomaRisk infrastructure, batch workflows, and API/SFTP delivery channels.
Maintain and improve operational documentation, procedures, and functional guidelines while coaching newer colleagues.
Requirements
At least 5 years of experience in managed services, production support, or data operations in financial services.
Bachelor’s or Master’s degree in Finance, Financial Engineering, Mathematics, Computer Science, or Engineering from an accredited institution.
Solid understanding of equity, fixed-income, and derivative instruments.
Experience handling incidents against SLAs, communicating with clients, performing data-quality checks, reconciliations, and exception handling.
Solid SQL and Python or a similar scripting tool for independent data investigation.
Strong analytical and quantitative problem-solving skills with attention to detail.
Effective written and verbal communication skills in English.
Ability to work effectively in a global, cross-functional team across multiple time zones.
Nice to have
Experience with risk or portfolio analytics platforms such as AxiomaRisk, MSCI RiskMetrics/BarraOne, Aladdin, Bloomberg PORT, or hirify.global Dimension.
Knowledge of risk analytics and derivatives pricing.
Familiarity with ITIL practices and case-management or ticketing tools such as Salesforce, Jira, or Azure DevOps.
CFA or FRM certification, completed or in progress.
Exposure to cloud-native platforms.
Culture & Benefits
Hybrid workplace model with remote work on non-office days and flexible working hours.
HMO coverage from day one and group life insurance.
Monthly rice, transportation, internet, and well-being allowances.
13th-month pay, discretionary bonus, and pension benefits.
Professional development opportunities, integration events, charity projects, and an international working environment.
New office in Bonifacio Global City.
Hiring process
Apply in English through the company career site; only applications submitted through the system will be processed.
Exclude personal data such as photo, age, and non-professional information from the application.
Applications are reviewed continuously; the approximate CV review period is three weeks, and candidate feedback may be requested during the process.
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