Founded in 2006, Fintellix's vision is to be the partner of choice providing compliance, risk and analytics solutions to banks. We work exclusively with banks across geographies, enabling them to derive value from data. Fintellix has worked extensively with banks in India and Middle East helping them automate regulatory reporting submissions. Infact, Fintellix is the market leader for RBI (Indian Central Bank) ADF (Automated Data Flow) reporting in India.

At Fintellix, our only focus is Compliance, Risk & Analytics Solutions for Banking industry. Fintellix solves business problems in the Banking space completely & comprehensively by bringing the right mix of Products, Solution frameworks & Consulting. By adopting an integrated and holistic view to solving problems while providing flexibility & modularity, Fintellix is able to extract business value hidden in data across & beyond the Banking enterprise.

Fintellix’s solutions leverage the latest in Analytics, Data Sciences & Information Management technology embedding Big Data, Mobility & Cloud capabilities. Fintellix understands Banking & Banking data deeply and with a solution-oriented team of data scientists & banking technologists that is highly flexible, it ensures that working with Fintellix is a delightful experience.

Fintellix Solutions, a part of Argus Information and Advisory services, extends Argus’s expertise in the development of Enterprise Data Platforms and Solutions as well as expanding Argus’s reach into India, Asia, and the Middle East. Argus Information and Advisory Services is a Verisk Analytics Company (NASDAQ: VRSK) and the leading provider of analytics, information and solutions to banks and their regulators. Argus helps its clients maximize the value of data and analytics to allocate and align resources to strategic objectives, manage and mitigate risk (default, fraud, funding, and compliance), and optimize financial objectives.

The acquisition of Fintellix positions Argus to expand data hosting and regulatory platforms and better address the increasingly complex needs of clients. Solutions are available for on-premises implementations as well as provisioning from Regional Cloud Infrastructure delivered by teams located in New York, San Francisco, Sao Paulo, London, Singapore, Dubai, Sydney, Mumbai & Melbourne as well as our Global Delivery Centre in Bangalore.

The role of a Data Scientist is to study data and develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments.  The Data Scientist develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. Uses machine learning and statistical modeling techniques such as GBM , SVM , decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy Additionally, the Data Scientist will link data and information together in new innovative ways to deliver business insights to our clients. 

The work includes the creation of both prototype “proof of concept” demos to prove out specific technologies and algorithms as well as more robust systems than can be put into production.  You will be exposed to some of the data challenges that teams at Argus and the Data Scientist will be expected to contribute to ideas for solving these problems as well as implementing these solutions.  The ability to work in a fast-paced multidisciplinary environment and the ability to work both autonomously and in a team are required for this role.  Qualified candidates will also have a strong passion for empirical research and for answering hard questions with data in addition to the ability to abstract model representations across very different industries and formulate repeatable models.  We also require that candidate have the business skills to understand problems and build the algorithms necessary find answers to complex problems.

Qualifications include:
·Bachelor or advanced degree in statistics, applied math, engineering, mathematics, data science, computer science,

Responsibilities:
·Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
·Perform analyses and develop interactive guided analytical dashboards
·Communicate complex quantitative analysis in a clear, precise, and actionable manner

Technical Skills:
·Strong skills in R or Python;  proficiency in SQL
·Strong programming capability; able to solve problems through programming and simulation
·Expertise in one of the following:
·Building and applying machine learning/predictive modeling in real-world use cases
·Large scale mathematical programming/operations research problems

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html