Vahagn Poghosyan
Prague
Summary
I am a highly motivated professional with a background in both finance and innovation management. With a Master's degree in Finance and a PhD in Innovative Management, area of my research interests lies
in the assessment of innovation capacity, venture capital, and innovative financial derivatives.
My 15 years of experience span across the banking and telecommunications sectors. In the banking industry, I've navigated through credit and market risk to my current role as a Quantitative Business Analyst at Barclays Investment and Capital. Here, I blend my financial acumen with my passion for programming, creating desktop applications and APIs for trading desks.
My programming skills extend to C#, Python, and JavaScript (ReactJs), which I've honed through both professional and freelance projects. Proficiency in SQL and NoSQL databases allows me to design and manage robust data solutions.
I'm also well-versed in data analysis and machine learning, holding a Certificate of Quantitative Finance and having completed the Advanced Data Science Course by World Quant University. My aim is to leverage my multifaceted skill set to drive innovation and data-driven solutions in the financial industry.
In addition to my current roles and skill set, I'm excited about the future. I aim to continue driving innovation in the financial industry, exploring emerging technologies and data-driven strategies. Looking ahead, I'm dedicated to further enhancing my skill set. Recognizing the importance of project management, I'm actively working towards obtaining the PMP certification to strengthen my abilities in this vital domain. As I strive to broaden my expertise, I am open to connections, insights, and opportunities that can help me reach my goals. Let's connect and collaborate on the path to excellence
Overview
8
8
years of professional experience
1
1
Certification
Work History
Quantative Business Analyst
Barclays Capital
04.2020 - Current
- Comprehensive Issue Resolution: Conduct in-depth analysis to identify root causes, define solutions, and create detailed documentation for business-critical challenges.
- Architecture Design & Development: Develop scalable, efficient architectures, and implement end-to-end solutions using C# and Python across full-stack environments.
- Stakeholder Collaboration: Facilitate seamless communication between software users, upstream data providers, and cross-functional teams to ensure alignment and delivery of tailored solutions.
- Full Lifecycle Management: Lead projects through all phases, from requirements gathering and architectural design to deployment and maintenance, ensuring optimal system performance.
- Quantitative Insight: Leverage quantitative analysis expertise to derive actionable insights, optimize processes, and support data-driven decision-making.
Senior Business Analyst
EPAM
05.2019 - 04.2020
- Created detailed user stories for system enhancements, leading to improved functionality and user satisfaction.
- Streamlined workflow for better productivity with the implementation of new software solutions.
- Led process mapping initiatives, resulting in optimized workflows and reduced redundancies across departments.
- Performed risk assessments on potential projects to determine feasibility and viability before moving forward with implementation plans.
Senior Financial Data Analyst
UCOM Armenia
12.2016 - 05.2019
- Developed customized financial models to support strategic planning initiatives, facilitating long-term growth for the organization.
- Spearheaded process improvements to increase data integrity, leading to more reliable financial reporting and insights.
- Championed the use of innovative data analysis tools and methodologies to stay ahead of industry trends and maintain a competitive edge in the market.
- Performed comprehensive financial analysis of telecom customer data, including usage patterns, revenue, churn lifecycle, cost, and margin assessments.
- Applied supervised and unsupervised machine learning techniques to extract insights and enhance predictive accuracy in customer behavior analysis.
Education
Ph.D. - Econometrics And Quantitative Economics
Academy of Sciences of Republic of Armenia
Yerevan, Armenia06-2016
Master of Science - Banking And Finance
Yerevan State University
Yerevan, Armenia06-2013
Skills
- Data analysis
- Requirements gathering
- Team collaboration
- Microsoft Office Suite
- Microsoft Excel mastery
- SQL proficiency
- Software development life cycle
- RESTful API design
- Microservices architecture
- Object-oriented programming
- Big data analytics
- Machine learning
- Natural language processing
Certification
- Certificate in Quantitative Finance (CQF) – Demonstrates expertise in advanced quantitative methods, financial modeling, and risk management.
- Applied Data Science Certificate – WorldQuant University – Highlights proficiency in data science techniques and their application to real-world problems.
- Additional Certifications – Comprehensive suite of relevant certifications showcasing expertise in finance, data analysis, and software development.
Timeline
Quantative Business Analyst
Barclays Capital
04.2020 - Current
Senior Business Analyst
EPAM
05.2019 - 04.2020
Senior Financial Data Analyst
UCOM Armenia
12.2016 - 05.2019
- Certificate in Quantitative Finance (CQF) – Demonstrates expertise in advanced quantitative methods, financial modeling, and risk management.
- Applied Data Science Certificate – WorldQuant University – Highlights proficiency in data science techniques and their application to real-world problems.
- Additional Certifications – Comprehensive suite of relevant certifications showcasing expertise in finance, data analysis, and software development.
Ph.D. - Econometrics And Quantitative Economics
Academy of Sciences of Republic of Armenia
Master of Science - Banking And Finance
Yerevan State University
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