American Century Investments® is a leading global asset manager with over 60 years of experience helping investors achieve their financial goals. Serving a broad client base including financial advisors, institutions and individual investors, we offer a wide range of investment strategies across a variety of investment disciplines.
Privately controlled and independent, we focus solely on investment management. This empowers us to align our decisions with client expectations and concentrate on their long-term money management needs.
We are committed to providing institutional-quality, actively managed solutions with a performance-centered mindset. Our expertise spans global growth equity, global value equity, disciplined equity, multi-asset strategies, global fixed income, alternatives and ETFs.
Our culture of winning behaviors exemplifies our dedication to clients every single day. Delivering investment results enables us to distribute over 40% of our dividends—or more than $1.5 billion since 2000—to the Stowers Institute for Medical Research, a 550-person, non-profit biomedical research organization with a controlling interest in American Century Investments. Our dividend payments provide ongoing financial support for the Institute’s work of uncovering the causes, treatments and prevention of life-threatening diseases, like cancer.
Headquartered in Kansas City, MO, we also have offices located in New York; London; Hong Kong; Sydney; El Segundo, CA (Los Angeles area); and Mountain View, CA (Silicon Valley).
For more information, please visit americancentury.com.
The primary responsibilities of the Investment Data Engineer are to develop and/or sustain applications for the Investment Data Technology team, to provide technical guidance on complex applications, programming and integration projects, and to contribute to our ongoing migration to an AWS-based Data Lake.
You will develop and maintain data pipelines for efficient data ingestion/collection, architect and implement data processing and storage solutions as well as enable data consumption through a variety of applications and tools. Technologies include (not limited to) AWS big data stack, Java, Python & SQL among others.
You will work closely with and provide design specifications to Database Administration, Data Architects, and BI development staff to optimize overall design.
You will analyze the business and technical requirements for data systems and applications; Scope, estimate, and schedule project work; Coordinate the integration of IT policies, procedures and development practices.
You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
You will research emerging data technology, applications, and integration frameworks to continuously improve the data lake/warehouse platform and practices.
Other duties as assigned.
Staff within the Information Technology department are required to consistently demonstrate the appropriate level of proficiency in the following competency areas: Change Advocate, Communication & Understanding, Accountability (for self and others), Achievement Orientation, Personal Leadership, Business Adeptness, Client Orientation, Project/Program Management, Teamwork, Developing People and Technical Leadership.
A consistent track record as a successful software developer
Willingness to continue to learn new technologies in a self-directed way
Superior interpersonal skills including the ability to communicate with individuals at all levels of the organization in both verbal and written form.
Highly motivated self-starter.
Strategic, creative and innovative thinker.
Ability to work independently and as a member of a team.
Ability to provide technical and guidance to technical and non-technical staff.
Education & Experience:
A Bachelor’s degree preferably in Computer Science or Engineering
3 - 5+ years of experience with big data technology programs and services, with a track record of delivering systems that help businesses extract value from large datasets.
Hand’s on experience with AWS Cloud platform and services, in particular S3, EC2, Lambda, Athena, Glue.
Experience working as a member of agile data technology development teams
Advanced knowledge of SQL as well as big data technology platforms, ETL/ELT tools and techniques as well as Business Intelligence (BI), analytics and AI services and tools.
Experience with AWS Cloud platform and services
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
Understanding of big data systems and life-cycle management best practices and methodologies.
Experience building and maintaining key business relationships.
Good communication skills and customer relationship skills.
Domain knowledge (mutual funds, financial securities, etc.) or previous experience working in asset management, financial services, or a financial systems background.
Experience with advanced analytics tools and languages such as R, Python, Java, SAS, and others.
Ability to work across multiple deployment environments including cloud (preferably AWS), on-premises, and hybrid models.
Knowledge of data lake concepts and related technologies
Experience working with data science and quantitative research teams.
Experience working with financial market data vendor platforms such as FactSet, Bloomberg, Thomson Reuters and alternative data sets.
Familiarity with data discovery, analytics, and BI tools such as Tableau.
Experience working in a SSAE 16 or similar level of controls environment.
Experience with Service Oriented Architecture (SOA), web services, enterprise data management, information security, applications development, and cloud-based architectures.
Knowledge of configuration management and version control processes.
Normal office environment.
Overtime as needed.
Negligible travel as needed.
On-call as needed.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be a complete list of all responsibilities, duties, and skills required.
EOE Policy Statement : American Century Investments believes all individuals are entitled to equal employment opportunity and advancement opportunities without regard to race, religious creed, color, sex, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, gender, gender identity, gender expression, age for individuals forty years of age and older, military and veteran status, sexual orientation, and any other basis protected by applicable federal, state and local laws. ACI does not discriminate or adopt any policy that discriminates against an individual or any group of individuals on any of these bases.