Fraud Solutions - Data Scientist - Risk Detect - Manager

PwC; New York (NY); On-site; USD 99,000 - 232,000; Full time

Benefits offered by this job

Bonus

Medical benefits

401k

Vacation

Job summary

PwC is seeking a Fraud Solutions Data Scientist - Risk Detect Manager to leverage data analytics for strategic client insights. You will lead data-driven projects, develop innovative analytics solutions, and mentor teams within our Risk & Regulatory practice. The role emphasizes integrity, collaboration, and continuous improvement.

The ideal candidate has a Bachelor's degree and 5+ years of relevant experience, with proficiency in Python and data visualization to support decision-making.

Qualifications

• Bachelor's degree required.
• 5+ years of experience required.
• Strong data analysis and leadership capabilities.

Responsibilities

• Lead data-driven initiatives to optimize client performance.
• Develop and implement innovative analytics solutions.
• Manage client service accounts and supervise teams.

Skills

Data analysis

Leadership

Stakeholder management

Education

Bachelor's degree

Tools

Python

Job description

The Opportunity

As a Fraud Solutions - Data Scientist - Risk Detect - Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage within our Risk & Regulatory practice. As a Manager, you will motivate, develop, and inspire others to deliver quality, while coaching and leveraging team members' unique strengths to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way, and embrace technology and innovation to enhance your delivery.

In this role at PwC, you will analyze and identify the linkages and interactions between the component parts of an entire system, taking ownership of projects to validate their successful planning, budgeting, execution, and completion. You will address conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders, escalating where appropriate. You will uphold and reinforce professional and technical standards, the Firm's code of conduct, and independence requirements, all while contributing to the success of our Firm by identifying opportunities that align with our broader business strategies.

Responsibilities

• Leading data-driven initiatives to optimize business performance and enhance competitive advantage
• Developing and implementing innovative solutions using advanced analytics techniques to drive strategic insights
• Managing client service accounts and driving engagement workstreams by supervising teams and solving complex problems
• Utilizing Python and data science methodologies to analyze and interpret large data sets for informed decision-making
• Building and maintaining data pipelines and architectures to support business intelligence efforts
• Guiding teams in strategic planning and execution while mentoring junior staff to leverage their strengths
• Collaborating with stakeholders to address conflicts and engage in critical conversations, escalating when necessary
• Upholding professional and technical standards, including adherence to the firm's code of conduct and independence requirements
• Promoting continuous process improvement and embracing change to enhance delivery and encourage innovation

What You Must Have

• At least a Bachelor's degree
• At least 5 years of experience

What Sets You Apart

• Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
• Excelling in data analysis and interpretation for strategic insights
• Utilizing Python for advanced data science applications
• Developing data visualization techniques to enhance decision-making
• Embracing continuous process improvement in data management
• Engaging in stakeholder collaboration for successful project outcomes
• Demonstrating leadership in coaching and mentoring team members

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.