Senior Lead Analyst, Accounts Review

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team. 

This role will be based in Sunnyvale CA.

Searching for your dream job At LinkedIn we strive to help our employees find passion and purpose. Join us in changing the way the world works. We are looking for a Senior Lead Analyst Account Review for TRO to be a critical part of keeping LinkedIn a professional and safe this role you will be responsible for exhibiting and maintaining expertise in identifying and understanding abuse perpetrated by inauthentic entities on Linkedin. You will be leading cross-functional initiatives for the Account Measurement Ops Team collaborating with stakeholders across product data science engineering and policy to strengthen adversarial account detection and drive key measurement objectives. Day to Day responsibilities will include maintaining industry expertise facilitating alignment among stakeholders identifying process and tooling gaps documenting processes for leadership and mentoring junior staff while implementing strategic solutions to enhance precision recall and program efficiency.

Responsibilities:

• Lead the Account Measurement Ops Teams cross-functional initiatives and projects coordinating efforts with product data science engineering policy AI and research teams to drive key measurement objectives
• Facilitate a shared understanding and alignment of adversarial account identification across stakeholders at all levels through calibrations knowledge sharing sessions and presentations
• Serve as the lead expert in account reviews and maintain an expert and defensible ability to adjudicate within the team and with xfn partners. 
• Consistently complete account reviews to ensure maintained quality and confidence in the ARE output as well as to maintain expertise in account review.
• Provide coaching to the Account Review Experts to ensure precision and recall is within an acceptable range to maintain confidence in the reviews.
• Ensure all process owners in measurement and the account review experts are well calibrated and continue to calibrate as adversarial behaviour changes
• Drive tooling recommendations and prioritization related to distinguishing adversarial behaviour from good member activity changes to improve precision and recall for account reviews
• Leads communication and collaboration among stakeholders to drive alignment in shared goals
• Leads by example. Demonstrating high performance and professionalism in all activities and identifying key areas for improvement for junior staff - creating and facilitating avenues for growth
• Maintain and grow expertise in industry level trends related to measurement account review account abuse trends and scams through proactive learning education and knowledge share with xfn partners
• Present on and educate xfn partners at all levels on identifying account abuse defending mental model and advocating for needs to drive buy in 
• Documents program level processes procedures and vision docs for exec level consumption
• Makes proposals to leadership to develop and lead initiatives end to end for improving overall measurement program for accounts
• Tactically implements and executes strategic processes for measurement and represents Ops perspective with outside teams and stakeholders
• Proposes coordinates and implements changes based on feedback reports by liaising with xfn partners and proactively develops and adjusts review processes providing subject matter expert input and recommendations.

Qualifications :

Basic Qualifications:

• BA/BS Degree or related technical discipline or related practical experience
• 4 years of experience in the account abuse space with emphasis in standing up measurement metrics for account abuse. Experience should span across AI Engineering and data science. 
• 2 years of experience identifying inauthentic accounts behaviour and trends with a proven ability to explain reasoning across leadership levels
• Exceptional written and verbal communication skills using a variety of communication channels

Preferred Qualifications:

• Masters Degree in a related technical discipline
• 6 years of experience in the account abuse space with emphasis in standing up measurement metrics for account abuse. Experience should span across AI Engineering and data science. 
• 1 years of direct account labeling experience 
• Passion and proven ability in understanding and identifying account abuse across online platforms
• Deep knowledge of fraud investigations and the tools/technologies that support it; familiarity with account take-overs phishing fake accounts known trends for adversarial behaviour and SPAM
• Experience with high-level project management stakeholder engagement and influencing cross-functional initiatives for scalability and long-term impact delivering high-level organizational visibility and business impact.
• Strong strategic thinking and problem-solving skills with the ability to independently execute strategic assessments identify gaps and propose innovative solutions based on deep industry expertise.
• Strong leadership skills with a track record of bridging technical teams and business units to align strategic objectives and operational initiatives.

Suggested Skills:

• Leadership
• Anti-Abuse Operations
• Inauthentic Account Review

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $116000 to 193000. Actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set years & depth of experience certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For additional information visit: Information :

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No

Employment Type :

Full-time