Position: Quantitative Finance, Associate
Company: KPMG
Category: Data Science
Experience required: 1y
English level: intermediate

Requirements:
Master degree in Economic cybernetics, Mathematics, Physics, Quantitative Finance, ;
Significant, state-of-the-art knowledge across a wide range of finance and risk-management issues;
Programming skills (SQL, R, Python);
Intermediate English, fluent Ukrainian and Russian;
Very strong analytical skills and ability to structure problems;
Strong communication and social skills;
High motivation, сertain creativity and team player
Experience in Risk-management, ALM, Finance in banks / fintech / insurance companies; consulting or software vendor focused on financial industry will be considered as a significant advantage 

Tasks within FRM (examples):
Modeling in R, Python, MS Excel (PD, LGD models, stress-testing; market risks assessment models);
Validation and development of quantitative financial risk assessment methodologies;
Capital allocation methodology review and implementation;
Validation of client’s financial instrument pricing methodologies;
Valuation of complex financial instruments held by clients 

What we offer:
Executive position in Financial Risk Management team, part of KPMG’s Advisory practice;
Member of FRM project teams at the client;
Support the project leaders in the operative project work (e.g., running analysis on data, assessment and development of quantitative financial risk assessment methodologies; writing of single slides, interview with member of clients’ project team, documentation);
Support Partners/Directors/Managers in writing proposals and other FRM internal tasks.