Data Scientist, Anti-Financial Crimes
As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Professional skills and responsibilities for this management level include but are not limited to:
Use feedback and reflection to develop self awareness, personal strengths and address development areas.
Delegate to others to provide stretch opportunities, coaching them to deliver results.
Demonstrate critical thinking and the ability to bring order to unstructured problems.
Use a broad range of tools and techniques to extract insights from current industry or sector trends.
Review your work and that of others for quality, accuracy and relevance.
Know how and when to use tools available for a given situation and can explain the reasons for this choice.
Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
Use straightforward communication, in a structured way, when influencing and connecting with others.
Able to read situations and modify behavior to build quality relationships.
Uphold the firm's code of ethics and business conduct.
Job Requirements and Preferences:
Specialism
Data and Analytics TechnologiesBasic Qualifications:
Minimum Degree Required:
Bachelor Degree
Required Fields of Study:
Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science
Additional Educational Requirements:
Other quantitative fields of study may be considered.
Minimum Years of Experience:
3 year(s) of relevant experience.
Preferred Qualifications:
Preferred Knowledge/Skills:
Demonstrates thorough abilities and/or a proven record of success in the application of statistical methods, data mining or data-driven problem solving, emphasizing a combination of some of the following areas:
Performing in development language environments: e.g. Python, Java, C++, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages;
Applying statistical modelling, algorithms, data mining and machine learning algorithms problem solving;
Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources;
Demonstrating familiarity with machine learning architectures used for text analysis and anomaly detection;
Building modularised, configurable and re-usable statistical and predictive models including (but not limited to) natural language processing, decision trees, multi-label classification, regression analysis and neural networks;
Applying techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge to efficiently research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained; and
Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, PowerBI and Qlikview.
Demonstrates thorough knowledge and/or a proven record of success emphasizing a combination of some of the following areas:
Assisting with the delivery and tracking of large-scale projects;
Demonstrating aptitude for building and implementing predictive models in a highly documented, well presented fashion;
Demonstrating aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements in the financial crimes space;
Supporting engagement leads in the interpretation and presentation of model results and model choice rationale;
Collaborating with business development teams responsible for writing and presenting proposals to prospective clients, leveraging PC applications including Microsoft Word, Excel, PowerPoint, and Project; and
Managing and/or contributing to project planning, engagement administration, budget management, and successful completion of engagement work stream(s).
Infinity Consulting Solutions, Inc.
New York New York
United States
Scientific Research
(No Timezone Provided)
Data Scientist, Anti-Financial Crimes
As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Professional skills and responsibilities for this management level include but are not limited to:
Use feedback and reflection to develop self awareness, personal strengths and address development areas.
Delegate to others to provide stretch opportunities, coaching them to deliver results.
Demonstrate critical thinking and the ability to bring order to unstructured problems.
Use a broad range of tools and techniques to extract insights from current industry or sector trends.
Review your work and that of others for quality, accuracy and relevance.
Know how and when to use tools available for a given situation and can explain the reasons for this choice.
Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
Use straightforward communication, in a structured way, when influencing and connecting with others.
Able to read situations and modify behavior to build quality relationships.
Uphold the firm's code of ethics and business conduct.
Job Requirements and Preferences:
Specialism
Data and Analytics TechnologiesBasic Qualifications:
Minimum Degree Required:
Bachelor Degree
Required Fields of Study:
Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science
Additional Educational Requirements:
Other quantitative fields of study may be considered.
Minimum Years of Experience:
3 year(s) of relevant experience.
Preferred Qualifications:
Preferred Knowledge/Skills:
Demonstrates thorough abilities and/or a proven record of success in the application of statistical methods, data mining or data-driven problem solving, emphasizing a combination of some of the following areas:
Performing in development language environments: e.g. Python, Java, C++, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages;
Applying statistical modelling, algorithms, data mining and machine learning algorithms problem solving;
Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources;
Demonstrating familiarity with machine learning architectures used for text analysis and anomaly detection;
Building modularised, configurable and re-usable statistical and predictive models including (but not limited to) natural language processing, decision trees, multi-label classification, regression analysis and neural networks;
Applying techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge to efficiently research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained; and
Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, PowerBI and Qlikview.
Demonstrates thorough knowledge and/or a proven record of success emphasizing a combination of some of the following areas:
Assisting with the delivery and tracking of large-scale projects;
Demonstrating aptitude for building and implementing predictive models in a highly documented, well presented fashion;
Demonstrating aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements in the financial crimes space;
Supporting engagement leads in the interpretation and presentation of model results and model choice rationale;
Collaborating with business development teams responsible for writing and presenting proposals to prospective clients, leveraging PC applications including Microsoft Word, Excel, PowerPoint, and Project; and
Managing and/or contributing to project planning, engagement administration, budget management, and successful completion of engagement work stream(s).