The Analytics team is responsible for driving the adoption of advanced analytics across the Chief Compliance Office (CCO). We combine elements of theory with the practical tools and techniques for exploring various quantities of data, all with the aim of designing effective algorithms to achieve our goals. We partner closely with Engineering, Compliance Analysts, and Business Groups to ensure that our solutions are solving the right business problem, are scaling as needed, and are achieving the expected results for our clients.
As a team, we represent a new and growing analytics presence within the compliance domain. Our culture centers on collaborating, continuously learning and teaching, and producing effective solutions for our users, whether they rely on elegant theory or on simple heuristics and empirical evidence. We measure our efforts based on the impact and value we create for our clients and teammates.
This Advanced Analytics role is perfect for someone who is passionate about combining deep technical understanding, broad domain knowledge, and creative problem-solving skills to design solutions that make a meaningful impact for our customers.
About the job:
Use machine learning techniques, visualizations, statistical analysis, etc. to gain insight into various data sets – some of which are readily available, and some of which you create and curate yourself
Participate in the full lifecycle of algorithm-based feature development: researching and designing solutions, running tests with clients, and performing deep analyses to understand results, implementing scalable solutions in production environments, and monitoring platform-wide impact
Collaborate with team members, both to build out specific projects and to continuously teach and learn new technology and techniques
Communicate findings and solutions clearly to a variety of audiences, e.g. writing clear, comprehensive specs for engineers or explaining algorithmic concepts to SMEs
Actively seek out a broad understanding of our platform and products, and align design efforts with that context
Work independently with minimal supervision but high accountability
About your skills and experience:
Preferred advanced college degree in Statistics, Mathematics and or Computer Science or Ph.D. in related fields; Data Analytics, Machine Learning, or Business Analyst nanodegree; or related expertise.
Typically requires 5-8 years related experience in advanced analytics, big data, relational database structures, research methods, sampling techniques, and system testing.
Advanced programming experience – Python is preferred
Experience with machine learning techniques and statistics methodology
Proven excellence at formulating, understanding, and solving complex, non-routine quantitative problems
Aptitude for learning new theory and new technology
Strong written and verbal communication skills
Hands-on attitude toward problem-solving, including a willingness to dig into the data and quickly construct tools or models
Ability to work in a highly interactive, collaborative, fluid environment
More about you:
You are passionate about a culture of learning and teaching. You love challenging yourself to constantly improve, and sharing your knowledge to empower others
You are relentless when looking for solutions to complex problems, and your grit serves you well when analyzing and debugging the root cause of unexpected results
You care about solving big, systemic problems. You look beyond the surface to understand root causes so that you can build long-term solutions for the whole ecosystem
You believe in not only serving customers, but also empowering them by providing knowledge and tools