Quantitative Analytics Specialist

Job Overview

Location

Bengaluru, Karnataka

Job Type

Full Time

Date Posted

15 days ago

Additional Details

Job ID

25787

Job Views

29

Job Description

Develop, implement, and calibrate various analytical models

Perform highly complex activities related to financial products, business analysis and modeling

Perform basic statistical and mathematical models using Python, R, SAS, C++ and SQL

Perform analytical support and provide insights regarding a wide array of business initiatives

Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management

Required Qualifications:

2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualification:

A Quantitative Analytics Specialist is an individual contributor role in the Capital Markets Track. This team deals with developing and validating mathematical models for pricing and hedging complex financial instruments. We use traditional and cutting-edge techniques in applied and computational mathematics to assess and validate models.

A Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solve business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member

2 years of experience of working in quantitative finance with minimum Masters/Phd in a quantitative field such as applied math, statistics, engineering, physics, or mathematical finance.

Performing mathematical model validation using Python, C++, R, and SQL or other programming languages and mathematical/statistical packages

Producing required documentation to substantiate model validation

Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects.

Strong mathematical, statistical, analytical and computational skills

Strong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writing

Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions

Ability to work independently on complex model validations from start to finish

Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, partial differential equations, linear algebra, applied probability, and statistics;

Skill in managing relationships with key model stakeholders

Eagerness to contribute collaboratively on projects and discussions

Perpetual interest in learning something new, but being comfortable with not knowing the all the answers

Attention to detail in both analytics and documentation

Aptitude for synthesizing data to 'form a story' and align information to contrast/compared to industry perspective

Intellectually curious, who enjoy solving problems

Excellent programing skills and use of software packages such as C++, Python, R, SAS and SQL

Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment

Good interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas

Qualification

Any Graduate

Experience Requirements

Fresher Experience

Location

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