At Franklin Templeton Investments, we are dedicated to delivering strong results and exceptional service to clients, team members and business partners. Over 9,000 employees working in 60 offices around the world are dedicated to servicing investment solutions for our clients in more than 150 countries. For over 65 years, our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team. What is the Data Scientist Mathematical Finance Client Analytics group responsible for? - Works individually in support of a Fintech (Wealth Management) initiative typically involving delivering against pre-defined timelines, providing support for solving complex problems by developing a variety of mathematical models and applying statistical techniques and perform ad-hoc statistical and data mining analysis as required. - Designs, develops and programs methods, processes, and systems to consolidate and analyze structured or unstructured, diverse big data sources to generate actionable insights and solutions for on-going research and product enhancement. Interacts with data management, data engineering, product, technology and service teams to identify questions and issues for data analysis and experiments. - Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Ability to Identify meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to business leaders (or organizations through out the enterprise). 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 & experience would help someone to be Successful? - Masters degree in Mathematical Finance / Quantitative Finance / Financial Engineering highly preferred - Ph.D / Masters / Bachelors degree in Mathematics, Statistics, Econometrics, Engineering or related disciplines, from Tier-1 or Tier -2 Institutes. - 4-6 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: - 4-6 years of experience in data science - 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 modeling. - Experience in SQL Other Skills: - Proven ability to take initiative and work under pressure in a changing/growing environment - Should be self-driven and be able to work in an unstructured environment. - Proven ability to work with ambiguous (not well defined) challenges. - Excellent written and verbal communication skills. - Displays curiosity to learn and learns independently - Ability to translate business challenges into analytical problems - Able to cultivate interpersonal customer and co-worker relationships - Ability to articulate and explain statistical / machine learning techniques to business partners - Ability to work individually or as a team as task requires Shift Timings: - Work Timings: 2:00PM to 11:00PM What makes Franklin Templeton Investments unique? In addition to the dynamic and professional environment at Franklin Templeton, we strive to ensure that our employees have access to a competitive and valuable set of Total Rewardsthe mix of both monetary and non-monetary rewards provided to you in recognition for your time, talents, efforts, and results. Highlights of our benefits include: - Professional development growth opportunities through in-house classes and over 150 Web-based training courses - An educational assistance program to financially help employees seeking continuing education - Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employees dependents (spouses, children and dependent parents) - Life insurance for protection of employees families - Personal accident insurance for protection of employees and their families - Personal loan assistance - Employee Stock Investment Plan (ESIP) - Onsite fitness center, recreation center, and cafeteria - Cricket grounds and gymnasium - Library - Health Center with doctor availability - HDFC ATM on the campus

Hyderabad

Franklin Templeton - Senior Data Scientist - Mathematical Finance Domain 

Franklin Templeton - Senior Data Scientist - Mathematical Finance Domain  ,Job Description for Franklin Templeton - Senior Data Scientist - Mathematical Finance Domain  in Franklin Templeton in  Hyderabad for (4-6) years of experience. Apply Now!

Job Description for Franklin Templeton - Senior Data Scientist - Mathematical Finance Domain  in Franklin Templeton in  Hyderabad for (4-6) years of experience. Apply Now!