Senior Associate, Data Management & Quantitative Analysis

Job title:

Senior Associate, Data Management & Quantitative Analysis

Company:

BNY Mellon

Job description

Job Description:At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all aboutWe’re seeking a future team member for the role of Senior Associate, Data Management& Quantitative Analysis to join our Risk Modeling team. This role is in Wroclaw (HYBRID).Responsibilities:

• This role will be responsible for the development, enhancement and documentation of counterparty credit risk and treasury risk modeling methodologies.
• He/she will also assist in managing inbound questions, deliverables and ad-hoc requests with an emphasis on accuracy and timeliness of meeting deliverables on prescribed timelines.
• Execute corporate-wide standards for model development by creating options for theoretical frameworks, collecting data needed, supporting assumptions, and reviewing outcomes.
• Responsible for performance monitoring of models, identifying possible deterioration by comparing outcomes to established thresholds.
• This role requires regular (written and verbal) interactions with business, technology, and other stakeholders in the bank such as Finance, Treasury, Model Risk Management.
• Good inter-personal and negotiation skills are a key factor to accomplishing goals when interacting in a complex, multiple-priority environment. Strong programming skills in Python and R is desired.

Qualifications:

• Strong quantitative skills: Master’s degree in a quantitative discipline, including Financial Engineering / Operations Research/ Economics / Econometrics / Statistics / Mathematics, etc. is required; PhD is a plus
• The candidate must have experience with complex quantitative modelling, numerical analysis, and computational methods using programming languages (such as Python and R) and have experience with database.
• Internship experience in quantitative modeling positions for a leading financial institution / central bank, consulting firm or similar
• Experience in fixed income and equity pricing
• Extremely focused, detail oriented and highly productive with ability to synthesize large amounts of data and various viewpoints and summarize key concepts
• Excellent organizational and communication (verbal and written) skills
• A proven track record of executing against deliverables and meeting deadlines under pressure
• Works well individually and in teams, shares information, supports colleagues, and encourages participation

At BNY, our culture speaks for itself. Here’s a few of our awards:

• America’s Most Innovative Companies, Fortune, 2024
• World’s Most Admired Companies, Fortune 2024
• Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024
• Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024
• “Most Just Companies”, Just Capital and CNBC, 2024
• Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
• Bloomberg’s Gender Equality Index (GEI), 2023

Our Benefits and Rewards:BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

Expected salary

Location

Wrocław, dolnośląskie

Job date

Sun, 12 Jan 2025 06:18:38 GMT

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