In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens.
Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity—not just answers—in all areas of business.
We value the diverse backgrounds and perspectives that enable us to think globally.
As part of One team, One Kroll, you’ll contribute to a supportive and collaborative work environment that empowers you to excel.
Verus, a Kroll business, is a premier trusted advisor to U.S.
state governments and is focused on regulatory compliance matters and fraud detection and prevention solutions for government entities.
We utilize our proprietary data analytics platform and experienced team of data scientists and subject matter experts to solve critical questions facing state governments related to compliance, risks and transparency.
At Kroll, your work will help deliver clarity to our clients’ most complex governance, risk and transparency challenges.
Apply now to join One team, One Kroll.
We’re seeking a software Engineer to work on problems at the intersection of Artificial Intelligence, Data Analysis, Data Extraction, Transformation and Loading (ETL), and software performance analysis.
In this role you will collaborate directly with Research Scientists, Engineers and Data Analysts to optimize the interaction and sharing of responsibilities between humans and machines.
You will also work alongside Research Scientists and Senior Engineers to bring their ideas to life by implementing algorithms, running experiments and building prototypes.
In this role you can expect to develop understanding and experience with Big Data technologies and Machine Learning techniques.
**We are open to location to any of our US offices.
RESPONSIBILITIES:
* Manage individual project priorities, deadlines, and deliverables.
* Adapt to changes and setbacks in order to manage pressures and meet company requirements.
* Demonstrate and apply principled software engineering practices.
* Be versatile and passionate about tackling new problems and learning new technologies.
* Have a strong sense of ownership and drive.
* Sharp problem solving skills and ability to tackle new problems effectively while hiding complexity.
* Use ideas from every facet of Computer Science (including distributed computing, large-scale design, big and real-time data processing, data storage, machine learning, and artificial intelligence, modern hardware) to solve challenging problems in big heterogeneous datasets.
* Work alongside Research Scientists and Senior Engineers to bring their ideas to life by implementing algorithms, running experiments and building prototypes.
* Work alongside Data Analysts to understand their needs, communicate software capabilities and propose processes and systems to achieve company goals.
REQUIREMENTS:
* BA/BS degree in Computer Science, related technical field or equivalent practical experience (based on 3 years of work experience for every 1 year of education).
* 3+ years professional experience in software development.
* 3+ years experience in Python, Java, SQL and shell scripting.
* 2+ years experience with DevOps practices and tools (e.g.
Git, Jenkins, Maven, Ant).
* Computer Science fundamentals in object-oriented design.
* Computer Science fundamentals in data structures.
* Computer Science fundamentals in algorithm design and complexity analysis.
Preferred qualifications:
* Advanced degree (MS/ME) in Computer Science or related technical field.
* Expertise in Map/Reduce systems such as Hadoop/Hive.
* Large data analysis and visualization experience.
* Exposure to industry or academic research.
* Exposure to Deep Learning, Deep Neural Networks, or related fields and a strong interest and desire to learn about them.
In order to be considered for a position, you must formally apply via careers.kroll.com.
Kroll is committed to creating an inclusive work environment.
We are proud to be an equal opportunity employer and will consider all qualified applicants regardless of gender, gender identity, race, religion, color, nationality, ethnic origin, sexual orientation, marital status, veteran status, age or disability.