Associate, Data Management & Quantitative Analysis I

BNY Mellon

  • Pune, Maharashtra
  • Permanent
  • Full-time
  • 27 days ago
Bachelor's degree in actuarial, finance, statistics or mathematics Minimum 3-5 years' work experience in a similar or related role with a top tier firm Insurance/actuarial (pricing, actuarial modelling, pensions) Investment bank (interest rate derivative sales, trading and research) Financial services (asset and risk management) Ideal candidates would have strong work experience and relevant knowledge in the following areas Actuarial modelling and processes (experience in UK pensions is preferred). Understanding of interest rate and inflation risk and techniques to quantify these risks Solid understanding of fixed income, derivative markets and hedging/LDI techniques Ability and desire to apply numerical skills in the workplace. Candidate with mathematics, economics, statistics and/or actuarial background is preferred. Ability to work in a highly collaborative team environment. Candidate will need to work with UK and Pune team members simultaneously Candidate should have strong quantitative skills and be fluent in English. Preferably hold a numerical degree or quant-orientated qualifications or progress towards actuarial or investment (e.g. CFA) designation. Strong proficiency in Excel is also required. The person should have strong verbal and written communication as s/he will need to articulate his/her thought process in any given task and set these out via email (e.g. setting out modelling process/assumptions). S/he should also be deadline driven, have strong analytical skills and be detail orientated as there is a lot of operational risk within our day-to-day role. S/he should also have a strong work ethic and be committed to meet the deadlines.

BNY Mellon