Work closely with business stakeholders, in a global environment, to gather enough context to translate the business objective into an analytical problem
Ability to work hands-on with vast amounts of structured and unstructured data to identify, analyze and interpret any trends or patterns
Apply appropriate statistical and data mining techniques to arrive at a solution that is in line with business strategies
Explore trends in the financial domain and analytics industry to identify newer, simpler and effective analytical methods in order to create robust solutions
Ability to communicate clearly and effectively present statistical outputs to a variety of stakeholders.
Requirements:
Prior experience as an analyst or data scientist in the area of Customer analytics, Operations, Fraud or AML
Strong analytical and problem-solving skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
Work closely with business stakeholders, in a global environment, to gather enough context to translate the business objective into an analytical problem
Ability to work hands-on with vast amounts of structured and unstructured data to identify, analyze and interpret any trends or patterns
Apply appropriate statistical and data mining techniques to arrive at a solution that is in line with business strategies
Explore trends in the financial domain and analytics industry to identify newer, simpler and effective analytical methods in order to create robust solutions
Ability to communicate clearly and effectively present statistical outputs to a variety of stakeholders.
Requirements:
Prior experience as an analyst or data scientist in the area of Customer analytics, Operations, Fraud or AML
Strong analytical and problem-solving skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
Technical expertise regarding data models, data mining, regression, segmentation, forecasting, and other multivariate data analysis techniques
Strong knowledge of and experience with databases and programming (SQL, DB2)
Knowledge of statistics and experience using statistical packages for analyzing datasets (SAS, R, Python) Proficient in MS office tools like Excel, Powerpoint, and word.
Adept at queries, report writing and presenting findings
Ability to work independently with various stakeholders / partners as well as a strong team player
Graduate/Masters in Mathematics, Economics, Computer Science, Engineering or Statistics
Prior experience in BFSI domain and exposure to Big data, Hadoop, Scala, Pig, Hue, Hive, etc. will be an added advantage, but not a requirement.
Headquartered in Copenhagen, Denmark, Danske Bank is one of the oldest and largest Nordic banks. For more than 145 years, the bank has been helping people and businesses in the Nordics realise their ambitions.In 2012, Danske IT was established in India as a fully-owned subsidiary of the Danske Bank Group. Its 1300+ IT professionals deliver modern and digital banking solutions, helping Danske Bank businesses become more agile, efficient and profitable. All this, with a level of global ownership that is unheard of in the Indian fintech space.Working on technology solutions for all areas of the bank including personal, business and institutional customers, Danske IT strives to deliver results that make a difference to the Bank’s 3 million customers.Read more.. Our employer promise:Challenging and meaningful workWe use technology to make daily banking and important financial decisions easy for our customers. In India, more than 1300 team members work on projects with
Headquartered in Copenhagen, Denmark, Danske Bank is one of the oldest and largest Nordic banks. For more than 145 years, the bank has been helping people and businesses in the Nordics realise their ambitions.In 2012, Danske IT was established in India as a fully-owned subsidiary of the Danske Bank Group. Its 1300+ IT professionals deliver modern and digital banking solutions, helping Danske Bank businesses become more agile, efficient and profitable. All this, with a level of global ownership that is unheard of in the Indian fintech space.Working on technology solutions for all areas of the bank including personal, business and institutional customers, Danske IT strives to deliver results that make a difference to the Bank’s 3 million customers.Read more.. Our employer promise:Challenging and meaningful workWe use technology to make daily banking and important financial decisions easy for our customers. In India, more than 1300 team members work on projects with
Global portfolio ownership
End-to-end responsibilities
Collaboration and teamwork
Leaders who inspire you to succeedWe believe that leaders must inspire and motivate their teams to deliver excellence. Our leadership policies earned us the 2019 Zinnov Award for Disruptive Leadership in IT – a reputed industry platform which received 300+ nominations from across companies.A collaborative cultureCollaboration is a way of life at Danske IT. From creating shared community of practices like Gnist (Danish for ‘spark’) and the scrum master community to the Business Analyst community, there are plenty of channelsand opportunities for employees to interact and share ideas locally and globally. The organisations engagement and celebration initiatives (Annual Day, Family, Day, sporting tournaments etc.) are also planned in a collaborative manner with representatives from across business teams.Opportunities to develop and growA career at Danske IT is an opportunity to develop, grow and contribute to a culture of high ambition. Development at Danske IT is propelled by a continuous learning journey. We believe that providing opportunities for personal and professional development is the corner stone towards building an attractive workplace.See Less