- Страна
- США
- Зарплата
- 80 000 $ – 105 000 $
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Reference Data Operations, Analyst
KKR — престижная компания с мировым именем, предлагающая отличные возможности для карьерного роста. Зарплата соответствует рынку Сан-Франциско для начального уровня, а работа с современным стеком (Snowflake, AI) делает позицию привлекательной.
Сложность вакансии
Роль требует сочетания глубоких знаний финансовых инструментов (кредиты, облигации) и технических навыков работы с SQL. Высокая ответственность за точность данных в сжатые сроки увеличивает сложность.
Анализ зарплаты
Предложенный диапазон $80,000 – $105,000 полностью соответствует рыночным стандартам Сан-Франциско для специалистов с опытом 1–3 года в сфере инвестиционных операций. Верхняя граница диапазона является конкурентной для кандидатов с отличным знанием SQL и специфики кредитных инструментов.
Сопроводительное письмо
I am writing to express my strong interest in the Reference Data Operations Analyst position at KKR. With a solid foundation in investment operations and a specialized focus on security master setup for credit instruments and bank loans, I am confident in my ability to contribute to the Global Data Operations team. My experience in managing daily pricing workflows and ensuring data integrity across OMS and accounting systems aligns perfectly with the requirements of this role.
In my previous experience, I have developed a high level of proficiency in SQL, particularly within Snowflake and Redshift environments, allowing me to efficiently reconcile large datasets and resolve complex data breaks. I am particularly drawn to KKR’s commitment to operational excellence and your interest in leveraging AI and automation to enhance efficiency. I am a detail-oriented professional who thrives in fast-paced environments and is eager to apply my technical curiosity to support KKR’s investment execution and reporting processes.
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Описание вакансии
COMPANY OVERVIEW
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.
POSITION SUMMARY
KKR is looking for an Investment Data Operations Analyst to join its growing data management group within the Global Data Operations vertical. This role sits within the Investment Data Operations (IDO) team and supports the broader enterprise, with primary coverage across Credit and Insurance strategies.
This position is based in San Francisco and reports to the VP of Investment Data Operations.
The ideal candidate will have foundational experience in security master and daily pricing operations, particularly supporting debt instruments and bank loans. This is a hands-on, execution-oriented role focused first and foremost on accurate asset setup and daily pricing controls, with exposure to broader data initiatives over time.
The candidate should have 1–3 years of experience in investment operations, preferably within an alternative investment firm, insurance company, or fund administrator. A strong understanding of middle- and back-office workflows, particularly how security master and pricing data impact accounting, risk, and reporting, is important.
This role requires a detail-oriented individual who is comfortable working in a fast-paced environment, willing to grind through operational workflows, and able to independently investigate and resolve data issues. The ideal candidate will also be technically curious, comfortable working directly with data in SQL-based environments and interested in leveraging automation and AI tools to improve operational efficiency. Strong communication skills and a collaborative mindset are essential for working across global teams.
We are passionate about operational excellence and providing our investment and business operations colleagues with high-quality, reliable data to support investment execution across the firm. We work in small, collaborative teams within the context of a global investment platform and offer meaningful exposure, learning opportunities, and long-term career growth.
RESPONSIBILITIES
- Create securities in the security master system and maintain updates to the security record throughout the lifecycle of the instrument
- Perform accurate asset setup across credit instruments, including bank loans, bonds, and structured products
- Manage daily pricing for all securities; perform price validation checks, investigate exceptions, and coordinate with vendors on pricing coverage and challenges
- Maintain consistent, accurate, and complete security master data across OMS, accounting, and risk systems by executing routine and targeted data maintenance tasks
- Use SQL to query, validate, and reconcile large datasets across systems (including Redshift and/or Snowflake environments)
- Support automation and efficiency initiatives, including responsible use of AI tools to streamline operational processes
- Resolve data breaks and support downstream teams (Accounting, Risk, Compliance, Client Reporting) with pricing and reference data inquiries
- Design, document, and execute data management processes under established governance frameworks
- In conjunction with IT, support specifications, testing, and enhancements to tools and applications used to maintain data integrity
- Identify areas of operational risk within asset setup and pricing workflows and escalate issues appropriately
- Execute assigned data-related initiatives and projects, with primary responsibility focused on operational execution
- Support management reporting and analysis using tools such as SQL, Sigma, PowerBI, and PowerPoint
QUALIFICATIONS
- Bachelor’s degree required
- 1–3 years of experience in security master setup, reference data management, or pricing operations
- Experience supporting credit instruments, particularly bank loans, asset backed assets.
- Experience within an alternative investment firm, insurance firm, or fund administrator preferred
- Hands-on experience writing SQL queries; experience working with Redshift and/or Snowflake strongly preferred
- Strong comfort working directly with data and performing reconciliations across large datasets
- Understanding of how security master and pricing data impact accounting, NAV, and risk reporting
- Experience with Sigma or PowerBI preferred
- Strong Excel and PowerPoint skills
- Strong attention to detail and ability to work accurately under time constraints
- Organized with the ability to manage recurring operational processes in a deadline-driven environment
- Excellent written, verbal, and interpersonal communication skills
- Team-oriented with strong integrity and professionalism
- Demonstrated curiosity around automation and AI tools, with a willingness to incorporate technology to improve workflows
- Willingness to roll up sleeves, be scrappy, and take ownership of day-to-day operational responsibilities
IDEAL EXPERIENCE
- Knowledge of Security Master characteristics of Bank Debt, Bonds, and ABS
- Familiarity with pricing vendors and pricing validation workflows
- Exposure to trade processing and settlement preferred
- Experience working with data platforms such as Snowflake, Redshift, Sigma, Tableau, or PowerBI
- Exposure to data governance concepts and operational control frameworks
- Experience leveraging automation, scripting, or AI tools to improve operational efficiency
#LI-DNI
This is the expected annual base salary range for this San Francisco-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.
Base Salary Range
$80,000—$105,000 USD
KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email Benefits@kkr.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com. Only emails left for this purpose will be returned.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.
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Навыки
- SQL
- Snowflake
- Redshift
- Power BI
- Sigma
- Excel
- PowerPoint
- Data Management
- Reference Data
- Security Master
- Financial Instruments
- Data Reconciliation
Возможные вопросы на собеседовании
Проверка понимания жизненного цикла активов, что является ключевой задачей роли.
Опишите процесс настройки нового долгового инструмента (например, банковского кредита) в системе Security Master. Какие атрибуты наиболее критичны?
Оценка навыков работы с данными и способности решать технические проблемы.
Приведите пример сложного расхождения в данных, которое вы обнаружили с помощью SQL. Как вы его устранили?
Проверка знаний о влиянии операционных данных на финансовую отчетность.
Как ошибки в справочных данных или ценообразовании влияют на расчет NAV и отчетность по рискам?
Оценка способности работать с внешними поставщиками данных.
Как вы справляетесь с ситуациями, когда ценовые данные от вендоров (например, Bloomberg или Reuters) отсутствуют или кажутся некорректными?
Проверка интереса к инновациям, упомянутым в описании вакансии.
Какие возможности вы видите для использования AI или автоматизации в процессах управления справочными данными?
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- Страна
- США
- Зарплата
- 80 000 $ – 105 000 $