Market Risk-python+SQL+testing
2 months ago
**Elevate Your Impact Through Innovation and Learning**
Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies.
We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East, and the rest of Asia-Pacific.
Recognized by Great Place to Work® in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.
Curious to know what it’s like to work at Evalueserve?
**About Risk and Quant Solutions (RQS)**
Risk and Quant is one of the fastest growing practices at Evalueserve. As an RQS team member, you will address some of the world’s largest financial needs with technology proven solutions. You would solve these banking challenges and improve decision making with award winning solutions.
**What you will be doing at Evalueserve**:
- Ability to work on data manipulation, pre-processing and analysis using various python packages like NumPy, pandas, matplotlib.
- Data handling and data type conversions using SQL
- Very good experience in Python and SQL
- Ability to analyze the problems and provide solutions for it
- Run test management processes for medium to large scale projects (Test Strategy/Approach) documentation, managing User Acceptance Testing, building test plans and test scenarios, building implementation plans.)
- Analyze and debug issues seen while conducting tests
- Assist our stakeholder businesses with their tactical/ strategic solution requirements, services and/or program
- Automation of repetitive tasks and efficiency improvement
- Knowledge of asset classes (Equity, Rates, FX etc.), market risk regulations and experienced of working on market risk related projects will be a plus
- Experience in languages like Java will be an added advantage
**What we are looking at**
- We are seeking a highly skilled Data Analyst to join our team and focus on identifying and resolving data quality issues in market risk datasets.
**Qualification**
- Bachelor’s degree in data science, Statistics, Computer Science, Finance, or a related field.
- Proven experience as a Data Analyst in the financial services industry.
- Strong proficiency in SQL for data querying and manipulation.
- Advanced skills in Python for data analysis, including libraries such as pandas, NumPy, and matplotlib.
- Solid understanding of market risk concepts and financial instruments.
- Experience with data quality tools and frameworks is a plus.
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