Previous Job
Previous
Jr Data Scientist
Ref No.: 18-04566
Location: Baltimore, Maryland
JR DATA SCIENTIST

Our client, a leader in the financial services industry, is seeking a Jr Data Scientist to join their Brokerage department. The global team is expanding and is seeking a professional with skills in business analytics and data science to solve data-driven problems to help prevent fraud. The successful candidate should have a deep understanding of business analytics, statistical and predictive modeling concepts, machine learning approaches, and clustering and classification techniques. The candidate should be able to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills. The candidate should have experience building and managing complex analytic technical architectures. Candidate should be passionate about asking and answering questions in large datasets, and able to communicate that passion to product managers and engineers. If this is something you are interested in learning more about, please apply ASAP!

RESPONSIBILITIES:
Identify emerging fraud trends and recommend appropriate mitigation strategies
Regularly assess strategy performance including false positive rates and recommend revisions to balance fraud loss vs client disruption
Ability to clearly communicate change recommendations based on data driven analysis
Prepare and document review findings in a concise, understandable manner for written communication to the appropriate parties
Query and mine large data sets to Client transaction patterns, examine financial data and filter for targeted information using traditional as well as predictive/advanced analytic methodologies to proactively identify fraud trends
Preparation of various daily, weekly, monthly and ad hoc reports utilized to drive decisions and measure success
Forge relationships across divisions, including Information Technology, Legal & Compliance, Operations, Credit, and Finance to assist in the implementation of fraud remediation initiatives

REQUIRED SKILLS:
Degree in Computer Science, Engineering, Mathematics, Statistics, Finance, or related quantitative field or equivalent
In depth knowledge of using MS Office, specifically Excel for basic data analysis and PowerPoint for presentations
Experienced in SQL for data mining and data wrangling
Proficiency using Python and Scala to perform data analysis
Strong quantitative and problem solving skills; proficiency working with large datasets, data mining, statistical methods, segmentation method, algorithm design and implementation
Ability to analyze large, complex, multidimensional datasets with a variety of tools
Ability to deal with ambiguity and define approaches to bring unfocused issues to resolution
PRoficient in SQL and Python.
Some working experience of data mining and statistical analysis

DESIRED SKILLS:
Experience with Spark,Tableau and R.
Modeling and Machine Learning experience
Experience of Finance, Banking, Insurance or similar businesses a strong plus
Knowledge of the financial crimes industry
Knowledge of Hadoop data environment and statistical and visual analytics tools such as SPARK, R and Tableau