What are the ongoing responsibilities of an Data Scientist - Mathematical Finance. Mathematical Modelling : - Demonstrates Expertise in advanced mathematics, especially mathematical finance. - Demonstrates a good grasp of probability distributions and stochastic calculus. - Designs and validates mathematical models to find interlinkages and applications of academic models within a business context. - Works on mathematical optimization modules similar to Traveling salesman problems under multivariate constraints. Familiarity with Lagrangian multivariate optimization problems a plus. - Analyzes and interprets the results of research experiments through statistical models Solves analytical problems utilizing large structured, semi-structured and unstructured data in a distributed processing environment. Data Analysis : - Collects data from disparate systems, analyzes and delivers the data as intelligence that is actionable. - Uses distributed and parallel processing frameworks like Spark for the analysis. - Statistical Analysis (Data Mining and Advanced Analytical Techniques): - Develops predictive, statistical, behavioral, or other models using supervised and unsupervised machine learning / statistical modeling techniques. - Performs ad hoc statistical and data mining analyses - Training, Research and Development What ideal qualifications, skills &amp; experience would help someone to be Successful? - Master's degree in Mathematical Finance / Quantitative Finance / Financial Engineering highly preferred - Ph.D in Mathematics, Statistics, Econometrics, Engineering or related disciplines, from Tier-1 or Tier -2 Institutes. (mandate) - 4+ years of experience in data science. - Certifications in Financial Mathematics or related subjects from institutes such as IIQF, IFMR, TIFR etc would be highly valued. Experience : - Understanding and prior experience with financial markets (Mandatory) - Knowledge of and Experience with Stochastic calculus, Simulations, Linear Algebra, statistical modeling, Time series analysis (especially state space models) (Mandatory) - Knowledge and experience of key machine learning and deep learning framework, e.g. Keras, TensorFlow - Hands on Experience in Python (Mandatory) - Proven Experience in Statistical and Mathematical modelling. - Experience in SQL

Hyderabad

Data Scientist - Investment Management Firm - PhD 

Data Scientist - Investment Management Firm - PhD  ,Job Description for Data Scientist - Investment Management Firm - PhD  in CaptumIT Pvt Ltd in  Hyderabad for (4-10) years of experience. Apply Now!

Job Description for Data Scientist - Investment Management Firm - PhD  in CaptumIT Pvt Ltd in  Hyderabad for (4-10) years of experience. Apply Now!