Must Have:
SQL, Python, able to write Python and SQL,
Must Have: SQL, Python, able to write Python and SQL.
HM is looking for strong python or SQL experience. Candidate should have either of this and able learn the other skill.
Python developer will also work on this but business data analyst is most desired candidate for this position.
HM will consider both developer and analyst.
Financial modeling experience is nice to have.
Forecasting
Looking for strong technical experience.
SAS is nice to have but not a must
Snowflake is good to have but not required.
Mercury Plus is a plus
Candidate should have experience on programming side as well as business side.

Preferred:
SAS

Position Overview:
Client’s Financial Engineering team within the Investments and Capital Markets (I&CM) division is currently seeking a Program Manager/Data Analytics Senior Consultant who will be responsible for supporting quantitative analytics and projects related to Client’s enterprise-wide forecasting engine.
This position will be tasked with gathering requirements, developing deep understanding of data, developing code for reporting and analytics, and contributing to preparation of reports and presentations.

Team Responsibilities':
Our team is the responsible for implementing the firm’s key models, across all business divisions. These include models for interest rates, house prices, borrower behavior, valuation, interest rate and credit risk, regulatory capital, and key financial reporting metrics.
As the center for implementation, we are also responsible for the development of a forecasting engine, which forecasts every loan, security, and significant accounting event for the firm, as well forecasts of our risk and capital.
This shared service supports nearly every risk decision in the firm, including automated underwriting, distressed loan decisioning, the profitability and risk of capital market decisions, the evaluation of credit and counterparty risks, related accounting disclosures, and capital strategy.

Role Description:
- Contribute to gathering business requirements to be implemented in the MPlus Forecasting Engine
- Participate in the data preparation, code development, and reporting to support baseline and ad hoc analytics
- Provide timely, relevant, robust analyses to support business decisions
- Contribute to automation of processes related to implementation of various methods and models in the Forecasting Engine
- Collaborate with team members and interact across organizational lines to meet business objectives
- Follow appropriate controls and standards established to maintain and create documentation for processes & reports
- Analyze / explain results, review trending and perform sensitivity analysis

Qualifications:
- Degree in quantitative finance, statistics, mathematics, economics, data analytics or a related quantitative field preferred, with 1-3 years of relevant work experience.
- Work experience and proficiency in programming and/or data mining languages such as SQL, Python, SAS or R
- Experience working with large data sets and relational databases
- Strong quantitative, analytical, and problem-solving skills
- Strong presentation skills
- Mortgage industry experience preferred but not required

Keys to Success in this Role:
- Intellectual agility and interpersonal flexibility
- Strong presentation skills both verbal and written
- Deep curiosity to learn about new trends
- Ability to apply data to help inform strategy and direction
- Write Python, SQL, or and SAS scripts
- Support end-user issues and resolve in a timely manner
- Ability to work across teams and with diverse organizations of modeling and risk professionals in an effective and efficient manner