4 Data Methodologies Jobs

Responsibilities: Leverage advanced statistical modeling and machine learning techniques to solve business challenges across diverse industries. Design and implement scalable data-driven solutions to address business needs and improve decision-making. Perform data analysis, interpret results, and develop compelling data visualizations to communicate insights. Contribute to the creation, maintenance, and enhancement of data models and analytical tools. Collaborate with cross-functional teams to ensure insights are actionable and aligned with business goals. Present data findings and recommendations clearly to both technical and non-technical stakeholders. Support the development and continuous improvement of data processes and methodologies. Preferred Qualifications: Bachelors, Master’s, or PhD degree in Mathematics, Computer Science, Information Systems, Statistics, Applied Mathematics, Machine Learning, or a closely related field. 5+ years of experience in data science or machine learning, focusing on building predictive models and analytics solutions for real-world business problems. Strong proficiency in statistical modeling, Machine Learning algorithms, and Python programming. Ability to manage multiple tasks simultaneously with strong organizational and time management skills. Proven ability to effectively communicate complex analytical insights in a clear and concise manner. Experience working in agile development environments, contributing to projects with a focus on delivering business value. Demonstrated ability to work independently as well as part of a collaborative, remote team.

As a member of the Global Financial Crimes Governance team at FIS, your role will involve supporting the technology and data governance function of the Financial Crimes program. You will work closely with the Senior Director of the program to establish a robust tech and data governance culture and assist in various system implementations across Global Financial Crimes Compliance. The Global Financial Crimes Governance team oversees the Financial Crimes Compliance function across FIS, including its subsidiaries and affiliates. Your key responsibilities will include Policy and Program Governance, Risk Assessments, Exam and Issue Management, Committees and Forums, Training, Technology Governance, and Reporting for all matters impacting Financial Crimes. Additionally, you will play a crucial role in collaborating with AML and Sanctions officers of FIS's subsidiaries and other Risk and Compliance functions within the Legal, Compliance & Corporate Affairs division at FIS. Your main tasks will involve designing, evolving, and scaling the data governance framework, documenting data governance workflows, standards, guidelines, taxonomies, and operating procedures. You will be responsible for implementing and maintaining data governance policies and procedures to ensure compliance with regulatory requirements. Additionally, you will develop and optimize complex SQL queries to extract, manipulate, and analyze large volumes of financial data to ensure data accuracy and integrity. Collaboration with cross-functional teams of Business Subject Matter Experts (SMEs), Business Data Stewards, and Technical Data Stewards will be essential to establish and enforce data quality standards, metadata management, and data stewardship. You will also contribute to the development and maintenance of master data management processes to ensure consistency and accuracy of critical data elements. Moreover, you will generate regular reporting on Financial Crimes Data Governance KPIs, metrics, and activities, monitor and communicate regulatory changes impacting data governance for FIS products, services, and business activities. Performing periodic reviews and evaluations of FIS products, services, and business activities to validate compliance with applicable laws and regulations will also be part of your responsibilities. To be successful in this role, you should possess a Bachelor's or Master's degree in a relevant field, along with at least five years of experience in the regulatory compliance field. Proven experience as a Data Analyst in the financial services industry, particularly focusing on Financial Crimes Compliance, is required. Proficiency in SQL, data analysis tools, and experience with data governance practices are essential. Excellent analytical, problem-solving, communication, and collaboration skills are also necessary. In return, FIS offers a flexible and creative work environment, diverse and collaborative atmosphere, professional and personal development resources, opportunities to volunteer and support charities, competitive salary, and benefits.,

At PwC, you will be part of the workforce consulting team which focuses on providing consulting services related to human resources, talent management, and organizational development. Your responsibilities will include analyzing client needs, developing people and organization strategies, and offering guidance and support to help clients optimize their workforce, enhance employee engagement, and drive organizational effectiveness. Additionally, as part of the people insights team, you will leverage data and insights to assist clients in making strategic decisions, improving employee performance, and engagement. Your role will involve analyzing client workforce data, identifying trends, developing predictive models, and providing actionable recommendations for workforce decisions. In the competency overview of workforce transformation at PwC, you will collaborate with US counterparts to deliver Workforce Transformation solutions. A core focus will be on HR Benchmarking and Workforce Analytics, analyzing HR metrics against industry standards to provide insights into key performance indicators like productivity, engagement, and turnover. This data-driven approach supports strategic change initiatives, aligns HR processes, and improves recruitment and compensation strategies. Key Responsibilities: As a Benchmarking Associate in the PwC AC Workforce Analytics & Products Practice, you will be responsible for collecting, analyzing, and interpreting workforce data from various clients to compare their performance against industry benchmarks. Your role will involve providing insights on talent strategies, employee engagement, and overall workforce effectiveness using PwC's proprietary benchmarking tools. You will play a crucial role in helping clients overcome their transformation challenges by performing activities such as data mapping & metrics creation, data processing & analysis, research & insights, Excel expertise, and presentation & communication. Must-have Skills: - Proficiency in MS Excel/ MS PowerPoint - Experience with HR data and metrics - Ability to handle tasks with precision & accuracy - Familiarity with data methodologies - Strong problem-solving skills - High sense of accountability and responsibility Good-to-have Skills: - Ability to work in a fast-paced and flexible environment - Working knowledge of analytical tools like Alteryx, Tableau, PowerBI, Advanced Excel, Microsoft Power Suite - Strategic thinker and problem solver - Ability to work independently and in a collaborative team environment Eligibility Criteria: - Bachelor's degree in business administration, Human Resources, Statistics, or related field - Experience in consulting or HR analytics role - Proficiency in data analysis software like Microsoft Excel, Power BI, or similar tools Additional Information: - Travel Requirements: Travel to client locations may be required - Line of Service: Consulting Solutions - Industry: Management Consulting Preferred Work Experience: Previous experience in a consulting environment, particularly in HR or management consulting, is advantageous. This includes experience in client-facing roles and delivering actionable insights. A strong understanding of HR metrics related to workforce productivity, employee engagement, turnover rates, and other relevant HR data points is essential.,

As a member of the Sanctions team within the Global Financial Crimes (GFC) program at FIS, you will play a key role in supporting the Senior Director to establish a strong tech and data knowledge base, as well as assist in system implementations across Global Financial Crimes Compliance. Your responsibilities will include writing documentation on sanctions workflows, standards, guidelines, testing procedures, taxonomies, and operating procedures. You will also be tasked with developing and optimizing complex SQL queries to extract, manipulate, and analyze large volumes of financial data to ensure data accuracy and integrity. Additionally, you will be responsible for creating and maintaining comprehensive data lineage documentation, contributing to the development and maintenance of master data management processes, and generating regular reporting on Financial Crimes Data Governance KPIs, metrics, and activities. Your role will involve monitoring LOB compliance activities, verifying regulatory compliance deadlines are met, and tracking product data compliance deficiencies to completion. To excel in this role, you should possess a Bachelor's or Master's degree in a relevant field such as Computer Science, Statistics, or Engineering, along with 1-3 years of experience in the regulatory compliance field. Previous experience as a Data Analyst in the financial services industry, particularly with a focus on Financial Crimes Compliance, is highly desirable. Proficiency in SQL, data analysis tools, and experience with data governance practices is essential. Strong analytical, problem-solving, and communication skills are key to success in this position. If you have experience in regulatory oversight of high-risk product lines containing complex banking functions or are considered a subject matter expert in sanctions regulatory compliance, it would be considered an added bonus. At FIS, we offer a flexible and creative work environment, diverse and collaborative atmosphere, professional and personal development resources, opportunities for volunteering and supporting charities, as well as competitive salary and benefits. FIS is committed to protecting the privacy and security of all personal information processed to provide services to clients. Our recruitment model primarily relies on direct sourcing, and we do not accept resumes from recruitment agencies that are not on our preferred supplier list. We take pride in our commitment to diversity, inclusion, and professional growth, and we invite you to be part of our team to advance the world of fintech.,