IN_Associate_TM Analytics_Advisory_Gurgaon

Job Description & Summary: 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. In this role, you will support the development and implementation of analytical solutions to identify and prevent financial crimes within our organization. Job Position Title: IN_Associate_TM Analytics_Advisory_Gurgaon Responsibilities: - 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. Qualifications: - 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. Senior Associate Job Description: Job Title: Senior Associate - Data Science FCC Analytics Job Description: 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. As a Senior Associate, you will drive the development and implementation of advanced analytical solutions to enhance our financial crime compliance efforts. 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. - 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. Mandatory skill sets: Data Analytics Preferred skill sets: Data Science Years of experience required: 1 to 3 Years Education qualification: Master's degree in Data Science, Statistics, Computer Science, or a related field.

• Experience: 1+ year
• Seniority: Entry Level
• Education: Bachelor's degree required
• Languages: English