招聘
Benefits & Perks
•Parental leave
•401(k) matching
•Competitive salary and equity package
•Generous paid time off and holidays
•Professional development budget
•Parental Leave
•Equity
•Learning
Required Skills
Python
Node.js
TypeScript
Meta is looking for a skilled Risk and Controls Systems Advisor to join our Global Finance Risk & Controls (R&C) team. The R&C team's goal is to empower Meta's Finance organization to achieve its strategic objectives. We provide risk & controls guidance in support of day-to-day operations and help our business partners proactively anticipate and manage the effects of upcoming process and system changes on the control environment. The R&C Systems Advisor will be responsible for providing risk management expertise, with a focus on financial systems and applications, to guide our Business Process Owners and other internal cross-functional partners to strengthen their control environment. They will have hands-on experience identifying and addressing financial, operational and IT risks in business processes, evaluating and supporting the design of internal controls, and assessing the effectiveness of implemented controls.
Risk and Controls Systems Advisor Responsibilities:
- Collaborate with process/control owners and Enterprise Product teams to understand the desired objectives for a corporate initiative, new business process, or new system implementation and advise on risk mitigation
- Facilitate walkthroughs and technical analysis to gain a comprehensive understanding of systems or tools supporting our business processes to inform our risk assessments
- Draft end-to-end data flow and systems architecture diagrams to identify key process & system risks
- Design and influence the implementation of effective controls to sufficiently mitigate identified risks, based on detailed risk assessments (including but not limited to new SOX systems readiness)
- Identify opportunities for data-driven risk sensing & continuous controls monitoring
- Provide regular updates on assessment results to cross-functional stakeholders, including Executives
- Collaborate with internal cross-functional partners on the development and implementation governance frameworks that incorporate the use of generative AI, ensuring compliance with industry standards, company standards and regulatory requirements
Minimum Qualifications:
- Bachelor's degree in a directly related field, or equivalent practical experience
- Bachelor's degree in Computer Science, Information Systems, or related field
- 7+ years of experience in IT risk management, IT audit/internal audit, or related field Experience with IT controls, risk assessments, and the design and testing of controls and security measures across different IT environments
- 5+ years experience in accounting, consulting or similar field, focused on Systems and Technology Audits or IT Systems Risk Advisory
- Knowledge of financial systems and applications
- Demonstrated analytical and problem-solving skills Understanding of key frameworks including COSO Internal Control Framework, IT General Controls (ITGC), COBIT, and NIST
Preferred Qualifications:
- Certified Public Accountant, Certified Internal Auditor, or Certified Information Systems Auditor qualifications
- Proficiency in executing both business process and systems risk assessments
- 3+ years of experience with SQL and data visualization tools (Tableau, Power BI, etc.)
- Experience with home grown financial systems and/or Enterprise Resource Planning packages such as Oracle and SAP
- Experience within public accounting and/or other high-tech platform companies
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$152,000/year to $214,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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