Job Location: United States
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 embrace diverse backgrounds and global perspectives, and we cultivate diversity by respecting, including, and valuing one another. As part of One team, One Kroll, you’ll contribute to a supportive and collaborative work environment that empowers you to excel.
Elevate your career by joining the leading global Fintech operating in the Valuation, Cyber Risk, ESG, Fraud Detection, Corporate Finance and M&A businesses. Our professionals balance analytical skills, deep market insight and independence to help our clients make sound decisions. Thrive in an environment that fosters positive relationships and recognizes outstanding performance! We know you want to feel valued every single day and be recognized for your contribution.
We are on an exciting journey to build the next generation of public facing financial platform and rapidly growing our engineering team with ambitious AI-ML Engineers who can independently architect, develop, and deploy NLP machine learning models to implement state of the art text / document recognition solutions to power financial workflow solutions. If you are a Software Engineer who likes to innovate and solve complex problems, this is the place to be.
RESPONSIBILITIES:
- Develop novel NLP algorithms and models using state-of-the-art techniques like deep learning and knowledge base-augmented ML
- Move the needle on unsolved problems in cross-domain NLP by conducting original research into replicating and augmenting human expert behavior with machine intelligence
- Lead the development of data science and modeling capabilities in the cloud transformation journey
- Write production-ready modeling code at scale
- Contribute to a stellar engineering culture that values simplicity and function rooted in excellent design, documentation, testing, and code
- Collaborate with senior product and engineering leaders to identify the most promising problems to go after
- Continually improve the reliability, stability, and performance of production engineering processes that power the product offering
- Beyond engineering, strive to learn the business context of their projects to quickly play a leading role in solving problems and driving decisions
- Mentor and lead other ML Scientists and Engineers to help make our team even more awesome!
Do you share the same drive as us?
We are an outstanding group of engineers that are passionate about all aspects of enterprise software development and are looking to add like-minded engineers with following mindset:
- You are an ambitious software engineer who can independently develop and deploy high scale end-to-end applications in a collaborative team structure.
- You are an independent thinker who wants to bring ideas to shape technical solutions and can communicate those ideas to senior leaders.
- Beyond engineering, you will have a strong desire to learn the business context of your projects, so you can quickly contribute to solving problems and driving decisions to engage, learn, drive and deliver change on a global scale!
REQUIREMENTS:
- BA/BS in an analytical or technical field (e.g., applied math, physics, computer science, operations research), or equivalent experience.
- Advanced knowledge of statistical and machine learning methods, particularly in the areas of modeling.
- You have at least 4 years of experience performing novel research and deploying models to production in NLP or allied fields.
- You have mastery of the techniques required to work effectively with real-world data and have developed a successful track record training ML model on large, messy datasets.
- Strategic thinker and influencer with demonstrated leadership acumen and problem-solving skills.
- Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver results.
- Strong skills in oral and written communication including experience in effectively communicating with executives, employees, colleagues, and clients.
- Experience conceiving, implementing and continually improving machine learning projects.
- Strong familiarity with higher level trends in artificial intelligence and open-source platforms.
- Experience working with AWS, Azure, or similar cloud platform.
- Familiarity with visualization techniques and software.
- Experience in the financial industry or knowledge of financial products/markets is a plus.
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.
All employees must comply with Kroll’s mandatory vaccination policy, subject to all applicable federal, state, and local laws.
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