Big data is not a new term in finance; hence many research studies have explored different dimensions of big data in finance. In view of plethora of such studies, no single study sum-up the entire “Big Data in finance” universe. Therefore, the present study is an attempt to bring the gist of all those studies to understand the microstructure of big data in finance. The study does a systematic review of existing literature on the topic. Year-wise, Author-wise, Citation-wise, Affiliation-wise, Keywordswise and Source-wise listing of literature are the parameter to conduct present study. Bibliometric method on Scopus database is employed. This study provides insights on trends and future scope of big data in finance. As a result, sub-sets of big data in fiancé are identified namely artificial intelligence, credit-rating, financial reporting financial crisis, stock trading, assets-pricing, portfolio optimization, banking & insurance and auditing. All these sub-set are insighted with influence of big data. The study also suggests that field like cryptocurrency, green finance, sustainability, financial accessibility is the future of big data in finance