Manager, Data and Analytics – Analytics Technology

Experience Required

5 years

Minimum Education Required

Bachelor’s degree

License(s) Required

No

Training Required/Provided

No

Compensation

$196,000.00 - $213,000.00 / Yearly

Hours Per Week

40

Number Of Positions

5

Shift

First Shift (Day)

Job Description

Manager, Data and Analytics – Analytics Technology, PricewaterhouseCoopers Advisory Services LLC, Florham Park, NJ. Help clients extract insights from current industry and sector trends to drive business results using a broad range of analytics tools. Focus on organisational technology capabilities, including business intelligence, data management, and data assurance that help clients drive innovation, growth, and change within their organisations to keep up with the changing nature of customers and technology. Drive the development and implementation of technological solutions to reduce cost and enhance efficiency in data analytics. Assist clients in collecting and analyzing data to improve operational effectiveness and manage risks. Implement enterprise content and data management applications that provide impactful data analytics. Establish and maintain client relationships and professional networks. Supervise and coach teams.

40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.

The salary range is $196,000 - $213,000/year, plus individuals may be eligible for an annual discretionary bonus. PwC offers medical, dental, vision, 401k, holiday pay, vacation and more. For information, please visit the following link: https://pwc.to/benefits-at-a-glance.

MINIMUM REQUIREMENTS:

Must have a Bachelor’s degree or foreign equivalent in Computer Science, Financial Mathematics, Computer Engineering, Information Systems Management, Business Administration, or a related field, plus 5 years of post-bachelor’s, progressive related work experience.

In the alternative, the employer will accept a Master’s degree or foreign equivalent in Computer Science, Financial Mathematics, Computer Engineering, Information Systems Management, Business Administration, or a related field, plus 3 years of related work experience.

Must have at least one year of experience with each of the following:

• Utilizing SAS, R or Python software, Excel/VBA, SQL, Oracle, Tableau, and other programming languages and applications;

• Developing and implementing retail and wholesale credit risk models, including underwriting scorecards, loss forecasting, prepayment, and discounted cash flow models, aligned with regulatory frameworks such as CECL, IFRS 9, and CCAR;

• Drafting and reviewing model documentation and validation reports leveraging visualization techniques to effectively synthesize and communicate complex financial data insights to stakeholders; and

• Applying econometric, statistical, and machine learning techniques such as survival analysis, time series modeling, GLM, logistic regression, XGBoost, LightGBM, Random Forest, and neural networks to deliver advanced analytical solutions and insights.

50% telecommuting permitted. Must be able to commute to the designated local office.

Domestic and/or international travel up to 80% is required.

Multiple Positions Available.

Please apply by sending your resume to [email protected], specifying Job Code NJ4963 in the subject line.

Place of Work

Hybrid

Requisition ID

NJ4963

Job Type

Full Time

Application Email

[email protected]