Associate - Model Risk - Tool Validation (Firm Risk Management)

The primary responsibilities of the role include, but are not limited to the following: Provide independent review and validation compliant with MRM policies and procedures, regulatory guidance and industry leading practices, including evaluating conceptual soundness, quality of tool methodology, tool limitations, data quality, and on-going monitoring of tool performance Take initiatives and responsibility of end-to-end delivery of a stream of Tool Validation and related Risk Management deliverables Write Tool Review findings in validation documents that could be used for presentations both internally (tool developers, business unit managers, Audit, various global Committees) as well as externally (Regulators) Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management Represent MRM team in interactions with regulatory and audit agencies as and when required Follow financial markets & business trends on a frequent basis to enhance the quality of Tool Validation and related Risk Management deliverables Masters or Doctorate degree in a quantitative discipline such as Statistics, Mathematics, Physics, Computer Science or Engineering is essential Experience in a Quant role in validation of Models / Tools, in developments of Models / Tools or in a technical role in Financial institutions e.g. Strong written & verbal communication skills including debating different viewpoints and making formal presentations of complex topics to a wider audience is preferred 0-5 years of relevant work experience in a Model / Tool Validation role in a bank or financial institution Proficient programmer in Python ; knowledge of other programming languages like R, Scala, MATLAB etc. is preferred Willingness to learn new and complex topics and adapt oneself (continuous learning) is preferred Working knowledge of statistical techniques, quantitative finance and programming is essential; good understanding of various complex financial instruments is preferred Knowledge of popular machine learning techniques is preferred Relevant professional certifications like CQF, CFA or progress made towards it are preferred Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks mixing fundamental, quantitative, and market-oriented knowledge and skills is essential Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.