Sr. Data Scientists (Financial Domain Exp)
Are you serious about your career change?
We are a fast-growing company that is committed to helping in your next career move.
” Prior exp in Loss forecasting modeling
” Prior experience building data science tools
” Identify valuable data sources and automate collection processes
” Undertake preprocessing of structured and unstructured data
” Analyze large amounts of information to Client trends and patterns
” Build predictive models and machine-learning algorithms including and not limited to Linear Regression, Logistic Regression, Support Vector Machines, Random Forest, Nai ve Bayes Classification, Ordinary Least Square Regression, K-means, Ensemble Method, Apriori Algorithm ,Principal Component Analysis, Singular Value Decomposition, Reinforcement or Semi-Supervised Machine Learning, Independent Component Analysis
” Combine models through ensemble modeling
” Propose solutions and strategies to business challenges
” Experience in data mining
” Understanding of machine-learning and operations research
” We need individual having Financial domain exp
” Prior exp in supporting Consulting type of engagement is definite Plus
” For this role we need someone who has exceptional communication skills
Since its inception in 2006, VLink has become a reliable and nimble partner with a primary focus on small and mid-sized global customers in North America and APAC regions, providing information technology and strategic workforce solutions. Our engineering mindset and access to a global talent pool enable us to swiftly create affordable and tailored solutions.
Learn more about us.
VLink offers benefits such as comprehensive health plan, 401k match, critical illness, short-term disability, accidental insurance, life insurance, employee discounts, remote work, flexible schedule, paid vacation/sick days and floating holidays.
EEO, ADA, FMLA Compliant
VLink is an equal opportunity employer. At VLink, we are committed to embracing diversity, multiculturalism, and inclusion. VLink does not discriminate on the basis of race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. All aspects of employment including the decision to hire, promote, or discharge, will be decided on the basis of qualifications, merit, performance, and business needs.