IN-Senior Associate– Data Science-Third Party Risk – Advisory – PAN India

Line of Service

Advisory

Industry/Sector

FS X-Sector

Specialism

Risk

Management Level

Senior Associate

Job Description & Summary

A career in our Digital Forensics and eDiscovery (DFeD) practice, within Forensic Technology services, will provide you with the opportunity to help our clients protect their business in today’s evolving landscape by applying advanced and strategic approaches to information management. We focus on assisting organisations manage vast amounts of electronic data and navigate the legal and business processes demanded by critical events which includes litigation, regulatory requests and internal investigations.

Our team helps our clients collect, filter, and review electronic documents to effectively mitigate technological risk and maximise exploitation of their information assets.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Job Description & Summary: We are seeking a motivated and detail-oriented Manager with experience in data science and database management to join our team as a Data Science FCC Analytics professional. In this role, you will support the development and implementation of analytical solutions to identify and prevent financial crimes within our organization

Responsibilities:

Lead the development of predictive models and analytical tools for detecting and preventing financial crimes, leveraging advanced data science techniques.

- Analyze complex data sets to identify patterns, trends, and anomalies indicative of suspicious activities, providing strategic insights to guide decision-making.

- Collaborate closely with cross-functional teams to design and implement innovative data-driven solutions that strengthen FCC processes and controls.

- Stay abreast of evolving industry regulations and best practices in FCC analytics, incorporating them into our analytical strategies.

- Present findings and recommendations to senior stakeholders, influencing FCC strategies and enhancing compliance measures.

Qualifications:

- Master's degree in Data Science, Statistics, Computer Science, or a related field.

- 2-12 years of proven experience in applying data science techniques, machine learning algorithms, and statistical modeling to FCC analytics within the financial services sector.

- Experience in leading model building activities, including feature engineering, model selection, and evaluation.

- Proficiency in database management systems such as SQL for advanced data analysis and manipulation.

- In-depth knowledge of FCC regulations, risk management principles, and compliance frameworks.

- Excellent communication and leadership skills, with a demonstrated ability to drive projects and collaborate effectively with diverse teams.

Mandatory skill sets:

Data Science

Preferred skill sets:

Data Science

Years of experience required:

2-12 years

Education qualification:

B.Tech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Science

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date