Analytics Solutions Delivery Lead - Risk & Growth (Hybrid)

SimCorp; Hong Kong; Hybrid; HKD 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Flexible working hours

Pension

Job summary

SimCorp in Hong Kong seeks a Lead Delivery Consultant for Analytics Solutions to support APAC expansion. You will manage client onboarding, deliver risk analytics training, and work with sales to show the value of analytics products to investment professionals.

Ideal candidates have 5+ years in quantitative finance, strong modeling knowledge, and programming skills (SQL, Python, Excel, Java, C#). Hybrid work with office two days weekly.

Qualifications

• Degree in a quantitative field such as Mathematics, Statistics, Finance, Econometrics, or Engineering.
• CFA, FRM, CAIA designations are a bonus
• 5+ years of experience in quantitative finance preferably in a similar role/industry
• Solid knowledge of risk modelling techniques and risk analytics across asset classes
• Understanding of pricing models for CDS, IRS, ILS and FX Derivatives
• Experience with APIs/web services
• Great oral and written communication skills in English

Responsibilities

• Establish relationships with clients, and understand their system usage and special implementation requirements.
• Resolve complex client portfolio issues and develop deep expertise in risk analytics products.
• Own and execute client onboarding
• Design and delivery of training modules focused on Risk and Performance Attribution
• Work with prospective clients to showcase analytics solutions in APAC
• Coordinate in-house efforts to enhance client satisfaction

Skills

SQL

Excel

Python

Java

C#

English

Communication

Education

Quantitative degree

CFA/FRM/CAIA designation

Tools

APIs/Web services

Job description

SimCorp in Hong Kong seeks a Lead Delivery Consultant for Analytics Solutions to support APAC expansion. You will manage client onboarding, deliver risk analytics training, and work with sales to show the value of analytics products to investment professionals.

Ideal candidates have 5+ years in quantitative finance, strong modeling knowledge, and programming skills (SQL, Python, Excel, Java, C#). Hybrid work with office two days weekly.