Virtusa Announces Leadership Transition. Read the press release
10 or more years of experience in data science
Ability to work effectively in a dynamic group that has several concurrent projects
Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
Machine learning/Artificial Intelligence: Implement algorithms and statistical models to automate data analysis, data profiling and data validation.
Develop programs and analyze large datasets to uncover answers to complex problems. Should be comfortable writing code and working in a variety of programming languages, such as Java, Python, and SQL
Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
Execute analytical experiments to help solve problems across banking/financial domains
Identify relevant data sources and sets to profile for client business needs, and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big-data stores; perform data profiling and analysis for continuous optimization of data; perform data quality check and validate data for uniformity and accuracy
Analyze data for trends and patterns, and interpret data with clear objectives in mind
Data storytelling/visualization: Communicate actionable insights using data, often for a nontechnical audience.
Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
Execute analytical experiments to help solve problems across banking/financial domains
Identify relevant data sources and sets to profile for client business needs, and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big-data stores; perform data profiling and analysis for continuous optimization of data; perform data quality check and validate data for uniformity and accuracy
Analyze data for trends and patterns, and interpret data with clear objectives in mind
skills
Data Validation
SQL
Data Analysis
Data Profiling
Experience preferably in one or many of these Transaction Monitoring (AML, Fraud), Sanctions Screening (OFAC, CDD) KYC, Trade Surveillance, Financial Crimes Risk Assessment.
10 or more years of experience in data science
Ability to work effectively in a dynamic group that has several concurrent projects
Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
Machine learning/Artificial Intelligence: Implement algorithms and statistical models to automate data analysis, data profiling and data validation.
Develop programs and analyze large datasets to uncover answers to complex problems. Should be comfortable writing code and working in a variety of programming languages, such as Java, Python, and SQL
Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
Execute analytical experiments to help solve problems across banking/financial domains
Identify relevant data sources and sets to profile for client business needs, and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big-data stores; perform data profiling and analysis for continuous optimization of data; perform data quality check and validate data for uniformity and accuracy
Analyze data for trends and patterns, and interpret data with clear objectives in mind
Data storytelling/visualization: Communicate actionable insights using data, often for a nontechnical audience.
Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
Execute analytical experiments to help solve problems across banking/financial domains
Identify relevant data sources and sets to profile for client business needs, and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big-data stores; perform data profiling and analysis for continuous optimization of data; perform data quality check and validate data for uniformity and accuracy
Analyze data for trends and patterns, and interpret data with clear objectives in mind
skills
Data Validation
SQL
Data Analysis
Data Profiling
Experience preferably in one or many of these Transaction Monitoring (AML, Fraud), Sanctions Screening (OFAC, CDD) KYC, Trade Surveillance, Financial Crimes Risk Assessment.
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 36,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
Learn more
Have any questions?
To join our bright team of professionals, you can apply directly to our website under the Careers tab and search all open jobs. https://www.virtusa.com/careers
Yes, you can. Virtusa gives you the flexibility to apply for multiple open positions that excite you about your future and align to your experience and career goals.
Yes, you can. Virtusa is a global Company, and we serve our clients through our global delivery model.
Our dedicated recruitment team will review your online application and match it to all our open jobs. We update our open jobs on a daily basis and encourage you to check back often.
Our team of recruiters will review your application, relevant job experience, and skills to appropriately align it to our open jobs. From there, the recruitment team will contact the qualified candidate to start the interview process.
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