Senior Lead Analyst - Implementation Conversion

GENERAL DUTIES & RESPONSIBILITIES

• Employ machine learning and statistical modeling to create and enhance data driven products Analyze and extract insights from internal and external data
• Work with Big Data and transform complex datasets into more usable formats
• Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL
• Work independently and collaborate with other groups to solve complex problems
• Create and present analyses to internal and external partners and clients
• Document models and write code to track and monitor models and product performance
• Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs
• Other related duties assigned as needed

EDUCATION REQUIREMENTS

• Masters or PhD in Statistics, Decision Sciences, Applied Mathematics, Economics or Computer Science or the equivalent combination of education, training, and work experience

GENERAL KNOWLEDGE, SKILLS & ABILITIES

• Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis
• Proficient in data science tools and programming languages such as SAS, Python, R, Scala, SQL
• Experience or knowledge of cloud-based technology
• Knowledge of financial services industry Ability to collaborate with others and solve complex problem Proficiency in solutions design and requirements
• Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g, executive, management, individual contributors
• Excellent analytical, decision-making, problem-solving, team, and time management skills Ability to persuade and influence others on the best approach
• Positive outlook, strong work ethic, and responsive to internal and external clients and contacts
• Ability to work as part of a team or alone making a strong contribution in either scenario
• Exceptional statistical, mathematical and analytical skills
• Superior interpersonal, communication and presentation skills
• Delivery-oriented team player who takes responsibility for the team s success and strives to continually learn and improve
• Ability to interface with all levels of employees and effectively interact with various functional areas and facilities
• Ability to establish and maintain effective working relationships with employees, management, and clients

FIS JOB LEVEL DESCRIPTION

• Developing professional individual contributor role
• Works on moderately complex assignments, exercising judgment within defined procedures
• Participates in project planning sessions, working closely with seasoned Data Scientists and other team members to analyze requirements, and provide design recommendations for complex analytical systems
• Consults with senior peers with goal of continually building knowledge/experience while minimizing any risk
• This role shows a demonstrable interest in technological innovation with a focus on learning to apply standards, developing an understanding of the business, and advancing personal professional growth
• Typically requires demonstrated engineering skills, strong mathematical skills normally evidenced by bachelor s degree in a mathematical or related subject and two years of experience in software analytics