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- Assist in utilizing data science techniques to develop predictive models and analytical tools for detecting financial crimes such as money laundering, fraud, and sanctions violations.
- Conduct data analysis to identify patterns, trends, and anomalies that may indicate suspicious activities under the guidance of senior team members.
- Collaborate with cross-functional teams to contribute to the design and implementation of data-driven solutions that enhance FCC processes and controls.
- Stay informed about industry trends and regulations related to FCC analytics and support the integration of best practices into our analytical solutions.
- Participate in presenting findings and insights to stakeholders, providing valuable contributions to improve FCC strategies and decision-making processes.
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
- 1-2 years of experience applying data science techniques, machine learning algorithms, and statistical modeling in the context of FCC analytics.
- Experience in model building activities, including feature engineering, model selection, and evaluation.
- Proficiency in database management systems such as SQL for data manipulation and analysis.
- Familiarity with FCC regulations, risk management principles, and compliance frameworks.
- Strong communication skills and the ability to work effectively within a team environment.
- 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.
- Master's degree in Data Science, Statistics, Computer Science, or a related field.
- 3-5 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.
Associate - Hyderabad, Telangana - PwC

Description
Job Title
Associate - Data Science FCC Analytics
About the Role
We are seeking a motivated and detail-oriented Associate with experience in data science and database management to join our team as a Data Science FCC Analytics professional.
Responsibilities
Qualifications
Senior Associate - Data Science FCC Analytics
About the Role
We are seeking an experienced and analytical Senior Associate with a strong background in data science and expertise in database management to lead our Data Science FCC Analytics team.
Responsibilities
Qualifications
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