Job summary
Job post source
This job is directly from PwC
Job overview
The Financial Services - Data, Analytics, & Technology Director at PwC leads data-driven insights and advanced analytics initiatives to optimize client operations and drive strategic growth within the banking and capital markets sector.
Responsibilities and impact
The role involves setting strategic vision, leading client engagements, mentoring future leaders, promoting innovation in technology and analytics, and ensuring quality and integrity in deliverables to maximize client satisfaction and business growth.
Compensation and benefits
The salary range is $155,000 to $410,000 with eligibility for an annual discretionary bonus, plus benefits including medical, dental, vision, 401k, holiday pay, vacation, and sick leave.
Experience and skills
Requires a Bachelor's degree and 10+ years of experience, preferably with advanced quantitative degrees; skills in credit and capital modeling, statistical and machine learning techniques, cloud-based data platforms, programming languages like SAS, R, Python, and knowledge of data lakes and warehouses are preferred.
Career development
Opportunities include mentoring roles, thought leadership, and collaboration across the PwC network to develop leadership and technical expertise.
Work environment and culture
PwC emphasizes a culture of quality, integrity, inclusion, commercial mindset, and a healthy working environment that fosters collaboration and innovation.
Company information
PwC is a global professional services firm specializing in data, analytics, AI, and consulting services for the financial sector, focusing on strategic insights and business optimization.
Job location and travel
The role requires up to 60% travel and is based in locations including Maryland, with flexible work arrangements implied.
Unique job features
The position is distinguished by its leadership in integrating advanced analytics, cloud technologies, and innovative financial modeling within a major global consulting firm.
Company overview
PwC, or PricewaterhouseCoopers, is a global professional services network offering audit, assurance, consulting, and tax services. They generate revenue by providing these services to a diverse client base, including multinational corporations, governments, and non-profits. Founded in 1998 from a merger between Price Waterhouse and Coopers & Lybrand, PwC is part of the "Big Four" accounting firms and operates in over 150 countries. The company is known for its commitment to quality and innovation, making it a leader in the professional services industry.
How to land this job
Position your resume to highlight leadership in data, analytics, and AI within financial services, emphasizing experience in credit and capital modeling, cloud data platforms, and advanced statistical techniques.
Focus on showcasing your ability to lead strategic client engagements, drive innovative solutions, and mentor teams while demonstrating a strong commercial mindset and commitment to PwC's values like integrity and inclusion.
Apply through multiple channels including PwC's corporate careers site and LinkedIn to maximize exposure and ensure your application reaches the right hiring managers.
Connect with professionals in PwC's Data, Analytics & Technology division on LinkedIn, using ice breakers like commenting on recent PwC data initiatives or asking about their experience with cloud migration in financial services.
Optimize your resume for ATS by integrating keywords from the job description such as 'credit modeling,' 'cloud-based data science platforms,' 'machine learning,' 'AWS,' 'Azure,' and 'financial risk models' to improve screening success.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your energy on interview preparation and networking.
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